Biomarkers are strategic assets for biopharma companies, significantly improving the success rate of clinical trials1. Yet, discovering them often feels like navigating through a blizzard of unstructured information, searching for the one true signal that can guide the way. While laboratory automation has eased benchwork, the real storm rages in the data, obscuring access to… The post Finding signals in the storm: Automation in biomarker discovery appeared first on Drug Discovery and Deve...| Drug Discovery and Development
Antibiotic resistance is a growing global issue. According to the CDC, antibiotic resistance was associated with almost 5 million deaths in 2019. In the U.S., more than 2.8 million antimicrobial-resistant infections occur annually, killing more than 35,000 people. Researchers at Rockefeller University developed a platform to identify drug resistance genes in the environment before they… The post New technique could help solve the antibiotic resistance problem appeared first on Drug Discov...| Drug Discovery and Development
A new foundation model called GREmLN from a Columbia and Chan Zuckerberg Biohub team, delivers superior cell-type classification with only 10.3 million parameters, outpacing rivals like the 100-million-parameter scFoundation. Released July 9 on bioRxiv, it taps gene regulatory networks to achieve a 0.929 macro F1 score on immune cell data. “Instead of using large language… The post Columbia-CZ team develops 10.3M parameter model that outperforms 100M parameter rivals on cell type classifi...| Drug Discovery and Development