On February 7, 2025 AIGEN Sciences reported that it has signed a memorandum of understanding (MOU) with Mepsgen (CEO Kim Yong-tae) to collaborate on the goal of efficient, innovative new drug development.

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Through this agreement, the two companies will explore ways to reduce bottlenecks in the new drug development process and implement more precise data analysis and efficient in vitro experimental models by combining Eigenscience’s AI-based new drug development platform and Mepsgen’s microphysiological system (MPS) technology.

Specifically, the company plans to verify new drug candidates designed and developed using Eigenscience’s AI platform using Mepsgen’s bio-tissue chips, and to continuously update the AI ​​platform by analyzing the efficacy and toxicity of the initial candidates.

Furthermore, by combining existing toxicity data held by Eisenscience with bio-tissue chip experiment data, we plan to establish a new research paradigm that predicts side effects in advance and verifies the safety of new drugs without animal testing by repeating this process.

This is expected to predict the likelihood of clinical trial success and dramatically shorten the existing new drug development period. The two organizations plan to continue strengthening their collaboration by building and expanding their global network.

"This agreement provides an opportunity to take MepsGen’s MPS technology to the next level and will serve as an important example of how AI technology can bring innovation to the new drug development process," said Jae-Woo Kang, CEO of Aizen Science.

"We expect to be able to accumulate highly reliable MPS data through our collaboration with Eisenscience, which will enable us to support more efficient and rapid new drug development," said Kim Yong-tae, CEO of Mepsgen.

(Press release, AIGEN Sciences, FEB 7, 2025, View Source;wr_id=53 [SID1234661232])

On February 7, 2025 Oncolys BioPharma reported Non-consolidated Financial Results for the Fiscal Year Ended December 31, 2024 (Press release, Oncolys BioPharma, FEB 7, 2025, View Source [SID1234654152]).

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On February 7, 2025 Eisai reported its third Quarter Financial Results for Fiscal Year Ending March 31, 2025 (Presentation, Eisai, FEB 7, 2025, View Source [SID1234652323]).

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On February 7, 2025 Bain Capital, a leading global private investment firm, reported it has signed a definitive agreement to acquire Mitsubishi Tanabe Pharma Corporation ("Tanabe Pharma", "MTPC" or "the Company") in a carve-out transaction from Mitsubishi Chemical Group Corporation (Press release, Mitsubishi Tanabe Pharma, FEB 7, 2025, View Source [SID1234650100]). The investment is being led by Bain Capital’s Private Equity teams in Asia and North America together with the firm’s Life Sciences team and values the business at approximately 510 billion JPY (3.3 billion USD).

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Founded in 1678, Tanabe Pharma is headquartered in Doshomachi, Osaka, the birthplace of Japan’s pharmaceutical industry. Through the discovery and development of innovative drugs that address unmet medical needs, MTPC focuses on several priority therapeutic areas, including immunology & inflammation, vaccines, central nervous system (CNS), diabetes and metabolic disease. MTPC employs over 5,000 people globally.

As an independent company, Tanabe Pharma will continue to build on its legacy of medical innovation while developing new opportunities for growth through business development, licensing activities, enhanced R&D productivity, commercialization and strategic acquisitions.

"Tanabe Pharma has been delivering innovative medicines to Japanese patients for centuries, and we are proud to partner with MTPC and support its next phase of growth and evolution," said Masa Suekane, a Partner and Head of Japan Healthcare, Industrials and Financial Services at Bain Capital Private Equity. "As a standalone, independent company, the Company will benefit from the full support of Bain Capital’s global resources and our healthcare team’s extensive experience driving value creation across the healthcare value chain. We look forward to a collaborative partnership with MTPC and helping build a best-in-class Japanese pharma platform."

"We believe there are promising signs for growth and untapped opportunities in Japan’s life sciences industry as government and regulators have launched several initiatives to accelerate the development and approval of innovative medicines in the Japanese market," said Ricky Sun, a Partner at Bain Capital Life Sciences. "This is an exciting opportunity to leverage our team’s clinical insights and company creation support to build out a scale platform focused on long-term fundamental drug development in areas of significant unmet need to ultimately bring transformative medicines to patients in Japan and globally."

Bain Capital’s global Healthcare platform has deep experience supporting the growth and innovation of global pharmaceutical companies including Aiolos Bio (now part of GSK), Avistone Pharmaceuticals, Cardurion Pharmaceuticals, Cerevel Therapeutics (now part of AbbVie), Kailera Therapeutics, Stada, Tenacia Biotechnology, and Timberlyne Therapeutics. The firm is also a leading investor and partner to businesses across Japan, with more than 70 investment professionals who have made over 37 investments since establishing its Tokyo office in 2006.

The transaction is expected to close in the third quarter of 2025 and is subject to customary closing conditions, regulatory clearance and shareholder approvals.

Mitsubishi UFJ Morgan Stanley Securities and BofA Securities are serving as financial advisors, and Morrison Foerster, Mori, Hamada & Matsumoto and Ropes & Gray are serving as legal advisors to Bain Capital.

On February 7, 2024 Certis Oncology Solutions, a precision oncology and translational science company, reported its latest advancements in AI/ML at the Precision World Medicine Conference in Santa Clara, California (Press release, Certis Oncology Solutions, FEB 7, 2025, View Source [SID1234650099]).

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Certis President and CEO, Peter Ellman, presented "Predictive Oncology Intelligence: Revolutionizing Cancer Research with AI-Enabled Precision Oncology," as part of the event’s coverage of the rapidly expanding role of artificial intelligence in precision medicine. Ellman discussed the various ways the company’s patent-pending predictive AI/ML platform, CertisAI, helps close the translation gap in cancer therapeutics development via AI-enabled drug response predictions, better informed biomarker strategy, and data-driven decision-making.

"We’ve been talking about personalized medicine for decades now, but we’ve made little progress for patients. Nine out of ten investigational cancer therapies still fail in clinical trials. And despite all that we now know about cancer at a molecular level, fewer than 10% of patients derive meaningful clinical benefit from even the most advanced genomics-informed treatment," said Ellman. "In 2025, we have tools to change that. Multivariate computational algorithms, together with faster, lower-cost computing power, are quickly transforming the way we approach drug development and how we think about individualizing care."

During Ellman’s presentation, conference attendees were treated to an interactive demonstration of CertisOI Assistant, a recently launched generative AI tool that accelerates research workflows and democratizes the evaluation of complex datasets. The CertisOI Assistant works as a natural language intermediary for analyzing the genomic and drug sensitivity characterization data associated with thousands of cancer research models, including Certis’ patient-derived xenograft (PDX) models as well as public cancer cell lines from the Cancer Cell Line Encycolopedia (CCLE).

About CertisAI

CertisAI is a patent-pending predictive artificial intelligence/machine learning (AI/ML) platform developed by Certis Oncology Solutions. It is the first and only commercially available, validated AI/ML platform that predicts therapeutic efficacy by identifying complex gene expression signatures that correlate with drug response. The platform is designed to assist pharmaceutical researchers to develop and clinicians to identify new treatment options for specific cancers based on a tumor’s unique gene expression profile.