Drug discovery
Biomedical research is accelerating at a rapid pace, but the complexities of large datasets, multiple analytical tools, and vast literature are creating repetitive and fragmented workflows that hinder discovery and innovation. To address this issue, a team of researchers has developed Biomni, a general-purpose biomedical AI agent designed to autonomously
Machine learning
Research at the International University of Business Agriculture and Technology in Bangladesh has led to the development of a novel hybrid framework combining advanced machine learning and deep learning techniques to improve the accuracy of drug-target interaction (DTI) predictions. The framework overcomes challenges such as data imbalance and biochemical representation
Machine learning
Research conducted by Chih-Yuan Tseng and colleagues from Sinoveda Canada Inc. has developed a novel machine learning approach to predict drug dissolution profiles in the gastrointestinal tract. The study, published in the Journal of Chemical Information and Modeling, presents a two-stage machine learning approach that integrates physics-informed neural networks (PINNs)
Drug discovery
Artificial Intelligence (AI) is rapidly transforming the healthcare and life sciences sectors, with a focus on enhancing diagnostic efficiency, personalizing patient care, accelerating drug discovery, and optimizing operations. Sanjeev Malhotra, CEO of MeitY NASSCOM CoE, envisions a future where AI becomes an integral part of the sector, improving outcomes and
Drug discovery
A pioneering collaboration between McGill University, the Quebec government, and private industry has led to significant progress in the development of a novel drug to alleviate insomnia and neuropathic pain. This outstanding achievement was made possible by a generous grant of $658,422 from the Quebec government (MEIE) and $453,
Drug discovery
Researchers at the University of Massachusetts have identified the potential of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) models to revolutionize the pharmaceutical industry. According to a new study, these innovative methods can significantly assist in the development of new pharmaceutical compounds, which is a lengthy, costly,
