SOPHiA GENETICS SA (NASDAQ:SOPH) Q3 2023 Earnings Call Transcript

SOPHiA GENETICS SA (NASDAQ:SOPH) Q3 2023 Earnings Call Transcript November 11, 2023

Operator: Ladies and gentlemen, thank you for standing by. My name is Desiree and I will be your conference operator today. At this time, I would like to welcome everyone to the SOPHiA GENETICS Third Quarter 2023 Earnings Conference Call. [Operator Instructions] I would now like to turn the conference over to Katherine Bailon, Head of Investor Relations. Please go ahead.

Katherine Bailon: Good morning and thank you for joining us on SOPHiA GENETICS Third Quarter Fiscal 2023 Earnings Call. My name is Katherine Bailon and I’m the Head of Investor Relations at SOPHiA GENETICS. Joining me today are Dr. Jurgi Camblong, our Co-Founder and Chief Executive Officer; and Ross Muken, our Chief Financial Officer and Chief Operating Officer. Before we get started, I’d like to remind you that the management team will make statements during this call that are forward-looking within the meaning of United States federal securities laws. These statements involve material risks and uncertainties that could cause actual results or events to materially differ from those anticipated. Additional information regarding these risks and uncertainties appears in the section entitled Cautionary Statement regarding forward-looking statements in the Form 6-K for the third quarter earnings release on file with the SEC.

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Except as required by law, SOPHiA GENETICS disclaims any intention or obligation to update or revise any financial or product pipeline projections or other forward-looking statements whether because of new information, future events or otherwise. This conference call contains time-sensitive information and is accurate only as of its broadcast, November 7, 2023. This presentation includes non-IFRS financial measures. These measures are calculated by management and do not have any standardized meaning under IFRS. These non-IFRS measures supplement IFRS measures, but should not be viewed as substitutes for IFRS measures. We have included a reconciliation of IFRS measures to non-IFRS measures in our press release issued this morning, which is available on our website.

Please note both a replay of this call and the earnings release will be available on our website in the Investor Relations section. And with that, I’ll now turn it over to Jurgi.

Dr. Jurgi Camblong: Thank you, Katherine, and good morning, everyone. We appreciate you joining us on our call today. I am pleased to share that our third quarter results came in strong with revenue for the quarter growing 37% year-over-year on a constant currency ex-COVID basis. Moreover, we achieved this growth while delivering meaningful expense reductions from the prior year period. Our operating loss on an adjusted basis was $11.8 million, an improvement of $7.5 million or 39% from the third quarter of 2022, an improvement of $2.8 million or 19% from the prior quarter. On today’s call, I will start by reviewing our progress in the third quarter as it relates to our business execution and the continued growth of our SOPHiA DDM platform.

I will then turn it to Ross Muken, our Chief Financial Officer and Chief Operating Officer, to share our financial results for the period in more detail followed by our outlook for 2023. We will then end by taking your questions. Let me start with a review of the third quarter highlights and the execution of our business strategy overall. At SOPHiA GENETICS, we are focused on driving the adoption of our SOPHiA DDM platform. SOPHiA DDM is a cloud based software-as-a-service platform that health care institutions analyze and generate insights from patient data. SOPHiA DDM applies artificial intelligence to complex patient data, including genomics and radiomic data to help customers identify valuable patient insights. Our platform provides insights on a wide range of diseases with applications spanning across oncology and rare inherited disorders.

A key attribute of SOPHiA DDM platform is that we leverage our network of connected customers to create flywheel effect. As more customers use our platform to generate patient insights, the more powerful our insights become for the next patient. Customers who use SOPHiA DDM are constantly uploading patient data to the platform and providing inputs as they apply their expertise. As customers upload more data and provide more inputs, the AA algorithms which powers SOPHiA DDM become stronger over time. Ultimately, this allows health care institutions to benefit from the expertise and knowledge of one another and contribute to the collective intelligence of SOPHiA DDM. In the third quarter, we made great strides towards driving further adoption of SOPHiA DDM.

First, we added 18 new logos to our network. These customers join our more than 750 customers worldwide who use SOPHiA DDM, out of which 431 are core genomics customers. As a reminder, core genomic customers are those who generate revenue through our SOPHiA DDM platform in the last 12 months through our dry lab, bundle and integrated access modes by uploading their patient genomic data to generate insights. We aim to increase the usage of SOPHiA DDM by landing new customers and then expanding their usage of the platform. In that regard, our strong Q3 revenue performance is driven by robust utilization of SOPHiA DDM across the board. For the third quarter of 2023, analysis volume across our core genomic customers, which can be considered a close proxy for the number of patients analyzed, was 79,784.

This represents an all-time high and is up 28% year-over-year. When excluding COVID-19 related analysis, platform analysis volume was 78,709 for the third quarter of 2023, up a very robust 36% year-over-year. As mentioned earlier, customers use SOPHiA DDM to generate data-driven insights for patients across 2 primary disease areas, oncology and rare and inherited disorders. For oncology, we offer SOPHiA DDM applications for hereditary cancer testing, solid tumor profiling and hematological malignant testing in addition to the newer applications we added in the market for homologous recombination deficiency, HRD, and liquid biopsy. On that note, the later applications, HRD and liquid biopsy, were the fastest growing in the quarter while more established applications like hereditary cancer grew in line with our company’s overall growth.

For rare and inherited disorders, we offer applications to cover a wide range of diseases. Exome analysis represents the fastest growing applications in this area and we are expecting to see a shift to larger gene panels over time. Overall, we saw both the oncology and rare and inherited disorders categories grow in line with our company’s overall growth and reflect strong year-over-year performance while COVID analysis were down year-on-year as expected. I will now share some highlights during the quarter across our geographies. In EMEA, I’m excited to highlight 3 customers from the third quarter who are using SOPHiA DDM to generate insights for their oncology patients. First, we recently announced 2 new customers who were attracted to SOPHiA DDM by the impressive analytical performance of our platform and specially by our new homologous recombination deficiency application.

In August, CHU Bordeaux, one of the largest hospital in France went live on SOPHiA DDM and will be using our platforms HRD application capabilities. In addition, Istituto Romagnolo per lo Studio dei Tumori, IRST, an oncology center in Italy went live on SOPHiA DDM in September and is also using our platform’s HRD detection algorithms to help provide personalized treatment for patients with advanced ovarian cancer. In October, we also announced a new logo with OnkoMedeor Diagnostics, a German-based hematology-oncology clinical lab, who will use SOPHiA DDM’s hematology application capabilities for chronic lymphocytic leukemia, CLL, a common type of blood cancer. We welcome these new customers to the SOPHiA DDM network and are excited to work with them for their oncology needs as well as them contribute their data and knowledge to the SOPHiA DDM community.

In the LatAm region, we announced that we expanded our relationship with laboratory Laboratorio Curie, a laboratory in the capital city of Paraguay. Laboratorio Curie became a SOPHiA DDM customer in 2022 using the hereditary cancer application of our platform. This quarter they expanded their use of SOPHiA DDM by adding our HRR application for solid tumor testing. Laboratorio Curie cited that the SOPHiA DDM’s today expected turnaround time for this application will help accelerate reporting and decision making. In the Asia Pacific region, analysis volume in the third quarter grew above company average benefiting from September of 2022 signings when we added 2 labs in India, Unipath Specialty Laboratory and MedGenome. These labs in addition to the Tata Institute of Genetics and Society Center at inStem have all now completed their onboarding and are using SOPHiA DDM to run about 12,000 analysis per year.

These large volumes in India are notably beyond what we see in other parts of the world and are underpinned by India’s large population size albeit at a price point established to suit the Indian market. In the Asia Pacific region, we now intend to build on these early successes in India and in Australia with Peter Mac, which we discussed in detail last quarter, and are looking to push into new territories such as Korea and Japan. We intend to leverage direct and indirect sales. In doing so, expect to add small number of sales headcount in the region. Next turning to NORAM. We are pleased with the solid progress we are making in the region. NORAM revenue growth accelerated sequentially and grew at an impressive 78% year-over-year, well above the company average.

NORAM benefited from above company average analysis volume growth as well as contribution from biopharma. We continue to be excited with our growth in NORAM, which we consider to be a relatively underpenetrated and high potential market for us. I would like to take this time to highlight 3 new customers we signed in NORAM this quarter. In Canada, we signed CReATe Fertility Center in Toronto will be using SOPHiA DDM for fertility testing. And in the U.S., we signed [indiscernible] in Seattle and BioReference outside of New York City that serves over 19 million patients annually. Both of those reference labs are adopting SOPHiA DDM for liquid biopsy applications, which I’m excited to talk about in more detail now. As you know, liquid biopsy technology has the potential to revolutionize the diagnosis and management of cancer.

Today, liquid biopsies are being investigated across 3 main use cases. First, for diagnosis and therapy selection for cases in which obtaining a biopsy of the primary tumor is not feasible, for example, in subset of advanced lung and prostate cancer cases. Second, for the longitudinal monitoring of response after onset of systemic anticancer treatment. And third, for early detection of cancer. However, these promising use cases do not come without challenges. Liquid biopsies require highly sophisticated analytical capabilities to overcome the number of signal detection challenges such as low input materials. We believe this is an area in which our algorithmic capabilities may be distinctive. Our analysis of over 1.4 million genomic profiles to date means that we can confidently pick the signal from the noise.

In addition, we have developed our own proprietary molecular barcoding technology required for liquid biopsy analysis named CUMIN, which grants us freedom to operate in this important area. Both [indiscernible] and BioReference have recognized the analytical performance of our liquidity applications and we’re excited to welcome them to our network. In addition to these U.S. customers, we also recently helped Centre Leon-Berard, a leading cancer center in France, adopt SOPHiA DDM for liquid biopsy testing needs. Overall in Q3, our liquid biopsy analysis volumes grew 80% granted off a small base and we look forward to seeing this trend continue as we bring on new customers. Speaking of expanding our liquid biopsy customers, I would like to take this opportunity to talk about our partnership with Memorial Sloan Kettering.

As previously announced, we recently entered into a partnership with MSK to help them commercialize and deploy their liquid biopsy assay MSK-ACCESS. MSK-ACCESS is a liquid biopsy test that MSK developed in 2019 and successfully implemented clinically over the last 4 years at their New York facilities performing over 10,000 analysis to-date. This has been a resounding achievement for MSK and they are facing a lot of demand for their tests. However, they do not have the capacity to materially ramp up their testing volumes. Earlier this year they turned to us with the shared vision of working together to decentralize the MSK-ACCESS test and bring it to the world. The cloud-based nature of the SOPHiA DDM platform uniquely positions us to automatically break the data failures created by the centralized on-premise solution and bring their vision of deentralization to reality.

We are currently in the process of working with MSK to decentralize and commercialize their liquid biopsy test MSK-ACCESS powered by SOPHiA DDM and make it available to customers across the globe. Customers around the world will be able to use SOPHiA DDM to run MSK 146 gene panel that analyzes match genome and their samples and pick the signal from the noise. Participants to our early access program will be able to use SOPHiA DDM before the end of 2023 with full commercial launch on track for the first half of 2024. In fact by reference, the New York City lab we announced earlier today is one of the first adopters of MSK-ACCESS through this early access program. In addition to this initial traction, we also announced ahead of ESMO in October that AstraZeneca will join the collaboration between us and MSK to help bring MSK-ACCESS to a global scale.

AstraZeneca will leverage its global footprint to help accelerate the deployment of MSK-ACCESS worldwide. In doing so, institutions around the world, including those in under-resourced and underserved areas with access to highly accurate and reliable data and insights. Beyond improving global health equity and enabling proper cancer testing, the network we’re building with MSK will also be very important to accelerate standard recruitment of patients for clinical trials and in partnership with biopharma companies accelerates the development cycle of new compounds in oncology. Having now covered the opportunity in liquid biopsy, let me move to a second fast-growing application area HRD. Identifying patients with homologous recombination deficiency, HRD, means identifying a biomarker that has been shown to be associated with response to PARP inhibitors in advanced ovarian cancer.

Since the launch of HRD detection capabilities on SOPHiA DDM last year, we have seen sustained strong growth in analysis volumes. We have now approximately 35 customers in routine usage globally and in the third quarter we added Peter Mac in Australia to the list of countries using SOPHiA DDM for HRD detection; which includes India, Brazil, Italy, France and Spain. We recently expanded our HRD offering covering CIBD and RU applications by offering a patented analytical algorithm named Ginger. Ginger is a deep learning algorithm that powers our HRD detection capabilities. This algorithm uses low path wall genome analysis in conjunction with our proprietary deep learning algorithm to detect patterns of genomic scarring across the genome and as a result of mutations associated with homologous recombination repair.

Ginger is technology agnostic and can be readily deployed on any wet lab library prep, including third-party CGP panels. Overall, we are very happy with the traction of our HRD application today. In addition to our positive momentum in the clinical space, biopharma continues to show interest in SOPHiA DDM for HRD and HRR testing applications notably in the context of liquid biopsy testing. Today, I spent a lot of time highlighting the process we have made selling the genomics capabilities offered by SOPHiA DDM. While the genomics offering you’ve heard about today such as our HRD and liquid biopsy applications continue to be the key focus, we have always intended to complement this genomic capabilities with multimodal analysis. I am pleased to update you on our progress towards this multimodal vision.

During the third quarter, we released the multimodal model of the SOPHiA DDM platform SOPHiA CarePath. SOPHiA CarePath provides customers with the ability to perform multimodal and longitudinal analysis of patient data. In order to ensure SOPHiA CarePath gets off a strong start in the market, in December of 2021 we initiated a multimodal clinical study called DEEP-Lung-IV. As a reminder, this flagship initiative is a real-world observational study to develop AA powered multimodal predictive models of response to immunotherapy in the context of Stage 4 nonsmall cell lung cancer. Using the study as a springboard, we have now activated SOPHiA CarePath at all 30 of the sites we are participating in the DEEP-Lung-IV study and have recorded data on the 2,000 patients enrolled to-date.

Researchers from those 30 institutions are now using Sofia CarePath to develop new clinical research hypothesis by accessing the study data in a statistical aggregated manner. On that note, we are currently working on a first plan interim analysis of around 600 patient cases, which will be reviewed by the study IDMC, an Independent External Data Review Committee, by end of this year. This will notably be the opportunity to have a first readout regarding the performance of the predictive models being developed and we are looking forward to updating you on the first results in Q1 2024. The progress that we’ve made to develop our multimodal capabilities could not have been achieved without the partnership of several key players in the health care ecosystem.

In order to continue cultivating a community of joint collaboration, we proudly hosted the AI-driven Precision Oncology Summit in New York City in September. Attendees enjoyed 2 keynotes, 1 from Michael Burger of Memorial Sloan Kettering discussing our precision oncology with decentralized solutions and the second from David Gu, Chief Medical Officer of Microsoft, who presented opportunities and challenges with AI in health care. Then our Chief Biopharma Officer, Peter Casasanto, hosted a panel discussion with distinguished guests from AstraZeneca, Janssen, Henry Ford, Memorial Sloan Kettering and Microsoft with a focus on AI’s potential for enhancing treatment decisions making and supporting development of novel therapies. Beyond this event, we attended ESMO, the European Society for Medical Oncology, where our meetings with prospects and customers focused on the excitement surrounding the recent press coverage of our joint announcement with AstraZeneca and Memorial Sloan Kettering to broaden the adoption globally of NGS testing with a focus on patient health equity.

Our biopharma team hosted meetings with most of the Top 20 oncology companies to discuss the impact of this memorandum of understanding and potential for them to participate in the movement, enabling greater access to testing and eligibility for clinical trials and life-saving therapies. And just this past week, NVIDIA, our partner for rapid and scalable wall genome sequencing data analysis, joined us in Washington DC at ASHG to showcase our joint efforts. We look forward to continue working with all of our partners to advance our shared mission of improving our equity through data-driven medicine. Now turning to financial priorities. I want to address our recognition of the constrained environment for capital and reiterate that SOPHiA GENETICS has the ability to reach profitability without additional capital if necessary.

We fully expect and will proceed with our forward budgeting under the scenario that will not be available. Our concerted efforts of cost containment are now in the sixth quarter of consecutive improvement, excellent recurring items. In the third quarter of 2023, our reported operating loss was reduced by 30% year-over-year and by 17% sequentially. On an adjusted basis, our third quarter operating loss was $11.8 million, an improvement of 39% year-over-year and 19% sequentially. I would like to emphasize we do not take this challenging environment lightly. As such, we continually inspect our spending for opportunities and improvement. To that point, I would like to share that we have identified incremental select actions that can further expedite our path to sustainability.

We are just underway with these actions and expect benefits to 2024 and onwards. So to conclude my section. SOPHiA technology has been adopted by more than half of the 20 leading global cancer participants. As technology markets have shown us, winning the early adopters can be helpful in longer-term efforts to garner share with the majority. We are in the early days of the movement towards personalized medicine for cancer and our sense is that our momentum is increasing. And so in closing, I feel as excited today as ever that SOPHiA GENETICS has the elements in place that will enable us to accomplish what we set out to do 12 years ago to harness data from the global community, to generate actionable insights that contribute meaningfully to patient care and patient outcomes.

And now I will turn the call over to Ross to discuss our financial performance in more detail.

Ross Muken: Thank you, Jurgi, and good morning, everyone. I’m pleased to share that despite the challenging macro environment, SOPHiA GENETICS delivered robust performance in the third quarter continuing our commitment to sustainable growth. Turning to the financials. Total revenue for the third quarter of 2023 was $16.3 million compared to $11.6 million for the third quarter of 2022 representing year-over-year growth of 40%. Constant currency revenue growth was 33% and constant currency revenue growth excluding COVID-19 related revenue was 37%. Platform analysis volume, including volumes from our integrated access customers, was 79,784 for the third quarter of 2023 compared to 62,276 for the third quarter of 2022. The 28% year-over-year growth was attributable to the strength of our core platform analysis volume offset by the expected continued decline of our COVID-19-related analysis volume.

Excluding COVID-related volume, platform analysis grew a healthy 36% year-over-year in the period. Core genomic customers were 431 as of September 30, 2023, up from 424 in the prior year period, but down sequentially by 3 customers. This is primarily the result of a continued decline in COVID-only customers. Core genomic customer count included 14 new routine customers in the quarter. Annualized revenue churn rate was 3% during the third quarter of 2023, in line with our expectations. Net dollar retention for the quarter improved sequentially on a reported basis to 127%. Constant currency net dollar retention excluding COVID-related revenue was 126%. Strong NDR and a healthy level of backlog continued to provide us with a high level of revenue visibility going forward.

Gross profit for the third quarter of 2023 was $11.3 million compared to gross profit of $7.3 million in the third quarter of 2022 representing year-over-year growth of 55%. Gross margin was 69% for the third quarter of 2023 compared with 63% for the third quarter of 2022. Adjusted gross profit was $11.8 million, an increase of 56% compared to adjusted gross profit of $7.6 million in the third quarter of 2022. Adjusted gross margin was 73% for the third quarter of 2023 compared to 65% for the third quarter of 2022. Total operating expenses for the third quarter of 2023 were $27.8 million compared to $30.9 million for the third quarter of 2022. Turning to operating loss. For the third quarter of 2023, it was $16.5 million compared to $23.6 million for the third quarter of 2022.

Adjusted operating loss for the third quarter of 2023 was $11.8 million compared to $19.3 million for the third quarter of 2022. Lastly, total cash burn for the quarter was $15.8 million compared to $27.4 million in the prior year quarter, down over 42%. We are quite proud of this achievement and remain committed to sustainable growth moving forward. Cash and cash equivalents were approximately $133 million as of September 30, 2023. Turning to our 2023 outlook. Based on our strong first 3 quarters of fiscal year 2023, we are reiterating all elements of our annual guidance. We continue to expect reported revenue growth to be at or above 30% in 2023. Constant currency revenue growth, excluding COVID-19 related revenue, for 2023 is expected to be between 30% and 35%, in line with our previously highlighted long-term expectation.

Additionally, following on strong cost performance exhibited in the first quarters of 2023, SOPHiA GENETICS continues to expect 2023 operating losses to be below 2022 levels. Furthermore, with respect to the anticipated revenue cadence for the final quarter of 2023, I would note we continue to expect utilization to be up sequentially. However, currency may prove slightly less favorable than previously anticipated based on current rates. Additionally, given the timing of certain revenues recognized in the third quarter, we would anticipate that the step-up in 4Q revenue to be below what was exhibited in the prior year. This is all consistent with what we shared on our last quarterly update. Lastly, I wanted to provide a bit more color on the remarks Jurgi made with respect to our path to profitability and the required cost actions to expedite that goal.

We recently decided to take some tactical headcount actions that will further optimize our operations while also continuing to focus our R&D efforts on increasingly high ROI projects. These are difficult decisions, but we have prioritized the stating medium-term revenue momentum at our previously targeted communicated levels while ensuring a reasonable time frame to cash flow generation. Additionally, we continue to revisit our discretionary expenditures and have identified potential savings for 2024 in systems, professional services and certain public company costs. The combined nature of these items will further our path to profitability in 2024 and beyond. We commit to remaining vigilant and responsive to the environment and have attempted to balance our desire to execute against a very large TAM versus the practical reality of becoming self-sustaining.

We look forward to providing more color on these matters once we have completed our 2024 planning process. With that, I would like to turn the call back over to Jurgi for the closing remarks before we take your questions.

Dr. Jurgi Camblong: Thank you, Ross. We are proud of our performance, which we believe reflects our continued ability to execute on our vision and the opportunity ahead. SOPHiA success stands on our ability to delight customers and continue driving more and more usage of our platform. I am encouraged and as confident as ever about the long-term path that we are on. We have a fantastic opportunity to drive compelling returns and shareholder value. In closing, thank you to our SOPHiA colleagues, partners, customers and investors for joining us in our journey. Without you, none of this would be possible. Please note, later this month we are attending the Evercore Healthcare Conference in Miami. I look forward to continuing to update you on SOPHiA’s future success of democratizing data-driven medicine. With that, operator, you may now open the line to the questions.

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Q&A Session

Operator: [Operator Instructions] Your first question comes from the line of Tejas Savant with Morgan Stanley.

Yuko Oku: This is Yuko on the call for Tejas. Could you provide more color on the BioReference Lab collaboration? How quickly could it scale and how meaningful could it be in terms of economics to SOPHiA?

Dr. Jurgi Camblong: Yuko, thank you for your questions. So before we go to the specifics on BioReference, I would like to remind people that recently we signed an important Memorandum of Understanding partnership with Memorial Sloan Kettering and AstraZeneca to basically support decentralization of liquid biopsy testing and comprehensive genomic profiling testing through the usage of SOPHiA DDM and ultimately give equal access to proper patient diagnosis around the world, including in the U.S., right? And so in that regard, indeed we are having a lot of traction, a lot of demand on MSK-ACCESS. And I will let Ross give you some more color on the announcement of today with BioReference Lab.

Ross Muken: So obviously, as you all know, they are one of the largest central and reference laboratories in the U.S. and they have a great presence in the oncology field and one particularly amongst community oncology where we historically have not played necessarily. So this is a tremendous partnership for us. They’re a great party to be able to serve their communities with this fantastic application. And for us, it’s also really nice validation right of our ability to be able to scale up to other large central and reference laboratories similar to what we’ve done in other parts of the world as we’ve spoken about historically. So unfortunately, I’m not going to give you specifics on the economics. But as you well know, they have very large patient reach particularly in a number of key geographies like New York and Texas and Florida.

And so we would anticipate this being a really nice contributor later in 2024 and into 2025. And again one of, hopefully, several updates we’ll have for you on the early access program for MSK-ACCESS, which today is garnering quite a lot of interest. And as Jurgi mentioned, with our partnership or MOU as well with MSK and AstraZeneca, I think that will further help on that adoption and really drive access and awareness across the globe with respect to this really unique application.

Yuko Oku: Great. And then also as a separate follow-up question. With interim for DEEP-Lung-IV study readout expected before year-end here, what metrics would be provided to demonstrate model’s predictive ability and what do you think is the bar that you must meet to see strong adoption?

Dr. Jurgi Camblong: So to start with, Yuko, DEEP-Lung-IV study was for us a means to do multiple things and first was to build multimodal capabilities in SOPHiA DDM, right, through the CarePath module. So in that regard, now this has been extremely successful and we have been able to deploy in the context of DEEP-LUNG CarePath in 30 centers around the world. So that’s something that is extremely important. Second, as we would demonstrate that we had the ability to compute beyond genomics multimodal data in a real-world real-time setup. It was important to show that we’re not only trusted by the hospitals to manage and compute their data, but as well to demonstrate there was a value for the biopharma. And you may remember that we had announced earlier this year a deal we had signed with AstraZeneca on the data side where we are leveraging on SOPHiA DDM CarePath and the data that we’ve gathered in the context of DEEP-Lung to help IG in their development efforts.

And last, to your point, which was for us potential cherry on the top of the cake was to demonstrate that while you do so and you combine multiple sources of data, you may be able to anticipate response to expensive therapies like immunotherapy in a better way. So we are in that context today. So we are very proud to have deployed SOPHiA CarePath in 30 centers to have gathered data points, which are 200 clinical radiomics, genomics data points on 2,000 patients across those centers. And as it should be, now it’s an Independent Data Monitoring Committee that is meeting up in December and is going to present the outcome of our predictive algorithms independently in January next year. And so I would say great is already what we have achieved because we have demonstrated there was value of onboarding 30 centers around the world on the multimodal capabilities.

And when it comes to the predictability of the algorithms, we will speak about that at the time of the report from the Independent Data Monitoring Committee.

Yuko Oku: Got it. And you also noted that this predictive multimodal model can be applied to a variety of other cancer types. Do you have a plan to start larger studies to expand that utility of the model over time into other cancer indications? And are you viewing that expansion as a medium-term or a longer-term opportunity for you?

Dr. Jurgi Camblong: So indeed, Yuko, for many years we’ve invested in what we could call today our SOPHiA factory where we’ve been building algorithmic and workflows capabilities to be able to properly compute sophisticated, challenging genomic data, radiomic data, multimodal data. In the context of the multimodality, we wanted to demonstrate there was a value by doing that in lung cancer because lung cancer is the cancer that is killing I think most of the people around the world. We focus on non-small cell lung cancer and some unmet needs demonstrated the value of doing that. But our factory and algorithmic capabilities have already proven that similar outcomes could be expected in other cancer types. And in particular, I would highlight kidney cancer, glioblastoma and breast cancer where we had internal efforts. And indeed, one could expect next year that we speak about our multimodal capabilities beyond lung cancer.

Operator: Our next question comes from the line of Dan Brennan with TD Cowen.

Kyle Boucher: This is Kyle on for Dan. I had a quick one on biopharma or pharma partnerships. When should we expect these will be broken out in the revenue build? Is this sort of taking longer than expected to become more meaningful revenue contributors? And how should we be thinking about that moving forward?

Dr. Jurgi Camblong: So before we get into the breakdown of the biopharma revenue, I would like to highlight again our strong performance for this quarter in the top line, right? This has been a 40% year-on-year growth with gross profit that as well improved by 55%. So I think this is awesome and tells a lot about the scalability of our technology and the demand for our technology in the market including the biopharma. Now regarding the biopharma, we I think have been always consistent that we wouldn’t speak about the numbers until this reaches a certain scale. But I will let our CFO, Ross, comment.