Code Ocean Selected by Lantern Pharma to Power A.I. and Computational Biology Research & Data-Driven Oncology Drug Development Collaborations

On October 27, 2021 Lantern Pharma (NASDAQ: LTRN), a clinical stage biopharmaceutical company using its proprietary RADR artificial intelligence ("A.I.") platform to transform the cost, pace, and timeline of oncology drug discovery and development, reported a collaboration that will power A.I.-driven computational research for oncology-focused drug discovery and development with Code Ocean, the leading computational research environment for sharing scientific discoveries (Press release, Lantern Pharma, OCT 27, 2021, View Source [SID1234593961]). By leveraging Code Ocean’s Compute Capsule technology, the strategic approach is expected to further power Lantern Pharma’s RADR platform for faster, more collaborative discoveries from billions of RADR data points, as well as data and insights from Lantern’s network of collaborators.

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Computational researchers today are challenged with analyzing big data due to too many disparate tools, lack of specialized coding experience, and challenging, cumbersome DevOps processes required to organize and securely share research. Through this collaboration, Lantern Pharma is expected to benefit from significant efficiencies in development time and cost, as well as increased reproducibility from Code Ocean’s platform. The Code Ocean platform will offer an easy to use, collaborative research experience with an integrated development environment, secure repository, and portable Compute Capsule technology for guaranteed reproducibility.

"I’m thrilled to be working with a leading-edge technology partner like Lantern Pharma," said Simon Adar, Co-Founder and CEO of Code Ocean. "This collaboration truly enables large-scale, high-throughput collaboration both internally at Lantern and also with their leading research partners to accelerate the pace of oncology drug discovery."

"It’s clear that science and discovery need to be fully integrated using the latest tools and technologies to reduce costs, speed-up development, and increase probability of success," said Panna Sharma, President & CEO of Lantern Pharma. "We selected Code Ocean as we believe this collaboration will provide our scientists, researchers, data engineers and collaborators with a best-in-class, reproducible and highly secure platform environment to maximize the power and usability of our RADR A.I. platform to improve and enhance the research experience. Bringing together our proprietary A.I. with Code Ocean’s Compute Capsule technology we believe will allow us and other researchers to take collaborative drug development further and faster than ever before."

Lantern leverages advances in machine learning, genomics and artificial intelligence to develop oncology therapies by using its proprietary A.I. platform, RADR, to discover biomarker signatures aimed at helping identify patients more likely to respond to its pipeline of cancer therapeutics. Working within the Code Ocean platform is expected to help increase team productivity and enhance Lantern Pharma’s ability to collaborate more rapidly with industry leading partners, such as the National Cancer Institute, Georgetown University, Johns Hopkins and Fox Chase Cancer Center, within a secure and agile research environment.

The Code Ocean platform does not require the user to be an IT expert to utilize the software properly. By integrating the essential triplet– code, data and a computing environment– Code Ocean offers the most complete platform for computational research that’s on the market. Code Ocean’s unique Compute Capsules provide a fundamentally easier and more efficient way for researchers to create and safely share their work, which is essential to moving science forward. This, combined with Lantern Pharma’s billions of data points and growing library of algorithms designed for oncology drug development, will allow researchers to have faster access to more data than ever before, without being overwhelmed by massive amounts of data management or computational structure.

Third quarter 2021

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Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

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10-Q – Quarterly report [Sections 13 or 15(d)]

Eli Lilly has filed a 10-Q – Quarterly report [Sections 13 or 15(d)] with the U.S. Securities and Exchange Commission .

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Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

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10-Q – Quarterly report [Sections 13 or 15(d)]

Bristol-Myers Squibb has filed a 10-Q – Quarterly report [Sections 13 or 15(d)] with the U.S. Securities and Exchange Commission .

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Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

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Precigen to Host R&D Update Virtual Event on November 4th to Share Clinical Developments

On October 27, 2021 Precigen, Inc. (Nasdaq: PGEN), a biopharmaceutical company specializing in the development of innovative gene and cell therapies to improve the lives of patients, reported that the Company will host a virtual event on Thursday, November 4, 2021 at 11:00 AM ET to provide an update on the progress for its clinical pipeline (Press release, Precigen, OCT 27, 2021, View Source [SID1234592124]).

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Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

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The event will showcase data from several of the Company’s most advanced clinical programs, such as PRGN-3005 UltraCAR-T, PRGN-3006 UltraCAR-T, PRGN-2009 OTS AdenoVerse Immunotherapy and PRGN-2012 OTS AdenoVerse Immunotherapy. Precigen executives and key opinion leaders will participate in the event, including:

Helen Sabzevari, PhD, President and CEO of Precigen
Mary L. (Nora) Disis, MD, University of Washington (UW) Professor of Medicine, Director of UW Center for Translational Medicine, Professor in the Clinical Research Division at Fred Hutch and a lead investigator for the PRGN-3005 clinical study
David Sallman, MD, Assistant Member in the Department of Malignant Hematology at the H. Lee Moffitt Cancer Center & Research Institute and a lead investigator for the PRGN-3006 clinical study
James L. Gulley, MD, PhD, Branch Chief and Director of the Medical Oncology Service at the National Institutes of Health (NIH) and a lead investigator for the PRGN-2009 clinical study
Clint T. Allen, MD, Principal Investigator with the Section on Translational Tumor Immunology at the NIH and a lead investigator for the PRGN-2012 clinical study
Participants may register and access the live webcast through Precigen’s investor relations website in the Press & Events section. An archived recording will be posted to the investor relations website following the event.