AI and biotech An Interpretable, Thermodynamics-Based Deep Learning Framework for Predicting and Optimizing Drug Membrane Permeability. 2026-04-06 Cellular membranes serve as selective barriers, and membrane permeability is crucial for drug pharmacokinetics. While in vitro and in vivo methods exist, predicting and designing membrane permeability remains challenging. We developed a thermodynamics-based deep learning framework to analyze…
AI and biotech Artificial intelligence-based screening of phytochemicals for targeted cancer therapy. 2026-04-21 Cancer remains one of the leading causes of death worldwide and continues to pose a serious public health challenge. The limited success of many current treatments-often due to toxicity, poor selectivity, and the development of drug resistance-highlights the need for new and…
AI and biotech Target identification and assessment in the era of AI. 2026-04-20 Drug discovery and development is time-intensive, expensive and laden with risk. Identifying the right drug targets is crucial for increasing the probability of success, but traditional target identification and validation often take years, and a target is only fully validated once a…
AI and biotech Combining cutting edge computational and experimental methods for targeting kras mutations in non-small cell lung cancer. 2026-04-20 Historically, KRAS mutations have been notoriously difficult to target despite their status as the most commonly mutated oncogene in the RAS gene family. However, pioneering work by Shokat and colleagues has led to the discovery…
AI and biotech Enabling AI to Drive Innovation and Precision across Oncology R&D. 2026-04-18 The use of integrated large-scale, multidomain datasets with artificial intelligence (AI) is now essential in drug discovery and development. Organizations that strategically invest in robust data infrastructure and fit-for-purpose AI solutions will accelerate the delivery of precision oncology ther… PubMed ↗Cancer…
