As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”
Tiumbio Co. Ltd., of Seongnam-si, Gyeonggi-do, reported positive phase IIa top-line data on May 8 for Merigolix, its lead asset to reduce pain in female patients with moderate to severe endometriosis.
SN Bioscience Co. Ltd., headquartered in Seongnam-si, Gyeonggi-do’s second Pangyo Valley, gained U.S. FDA fast track designation for SNB-101 (SN-38), its new polymer nanoparticle cancer drug candidate for small-cell lung cancer.
Data from the transcatheter valve and vessel trial showed that percutaneous interventions in patients with aortic stenosis and coronary disease resulted in significantly lower mortality rates than those receiving surgical treatment.
Citing a high rate of patients leaving the study, Merck & Co. Inc. has discontinued the anti-TIGIT antibody vibostolimab and the anti-PD-1 Keytruda (pembrolizumab) portion of it phase III Keyvibe-10 trial as an adjuvant treatment for those with resected high-risk melanoma.
Macrogenics Inc. CEO Scott Koenig said his firm is “on the right pathway” with vobramitamab duocarmazine (vobra duo), previously known as MGC-018, in metastatic castration-resistant prostate cancer. Wall Street proved less than thrilled, and shares of the Rockville, Md.-based firm (NASDAQ:MGNX) closed May 10 at $3.31, down $11.36, or 77%, after Macrogenics disclosed phase II results from the Tamarack study with vobra duo.
SN Bioscience Co. Ltd., headquartered in Seongnam-si, Gyeonggi-do’s second Pangyo Valley, gained U.S. FDA fast track designation for SNB-101 (SN-38), its new polymer nanoparticle cancer drug candidate for small-cell lung cancer.
Innovent Biologics Inc.’s glucagon-like peptide-1 receptor (GLP-1R) and glucagon receptor dual agonist, mazdutide, met the primary endpoint of superiority in a head-to-head phase III trial in Chinese patients with type 2 diabetes compared to Eli Lilly and Co.’s GLP-1, dulaglutide, for glycemic control.
Intriguing data in pancreatic cancer didn’t do much to help shares of South San Francisco-based Cytomx Therapeutics Inc. (NASDAQ:CTMX), which closed May 9 at $2.04, down $2.15, or 51%, as the company made known initial findings from the ongoing CX-904 phase Ia dose-escalation study, showing a favorable safety profile and confirmed anticancer activity.
As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”
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