FierceBiotech

Machine learning hunt finds hundreds of new cancer targets, many with biomarkers to boot

With the help of machine learning, scientists have identified a plethora of previously-unidentified drug targets for breast cancer, cervical cancer, glioblastoma and more. In a study published Jan. 11 ...
Technology Networks

How Machine Learning Is Reshaping Drug Discovery

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Nasdaq

Tevogen Bio Leverages Microsoft Partnership to Deliver Machine Learning Based Target Identification to Address Human Papilloma Virus (HPV), Advancing TVGN 920

Tevogen Bio begins pre-clinical effort for TVGN 920, signaling the start of its oncology treatment pipeline. Tevogen Bio created a data set containing known proteins in the HPV genome to identify ...
BioWorld

Design of machine learning-derived prognostic signature and identification of new therapeutic target in RCC

Researchers from First Affiliated Hospital of Zhengzhou University published results from a study that aimed to investigate the mechanisms by which programmed cell death and mitochondrial function ...
Frontiers

Drug Discovery for Antimicrobial Resistance: From Target Discovery to Combination Design using experimental and AI approaches

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...