AI and biotech Multi-modal feature learning to prioritize ADCs with favorable half-life in mice. 2026-04-17 Favorable pharmacokinetic (PK) properties of antibody-drug conjugates (ADCs) enable higher systemic exposure and are associated with improved clinical efficacy, yet ADC PK optimization remains largely empirical and resource-intensive. We developed an in silico framework to predict half-lives of mono… PubMed…
AI and biotech Identifying Evidence-Based Strategies in a Digital Mental Health Intervention for Depression: Qualitative Content Analysis. 2026-04-16 Depression is one of the leading causes of disability worldwide. Cognitive behavioral therapy (CBT) is an effective treatment, but it is difficult to access due to clinician shortages, waitlists, and logistical barriers. Smartphone-based CBT interventions offer a…
AI and biotech Realizing Aqueous High-Order Tripartite Synapse. 2026-04-16 Future integration of artificial intelligence in biological settings imposes a non-negotiable requirement for advanced aqueous synapses, demanding not only biocompatibility in proper aqueous environments but also high-order behavior with multimodal functionalities, which, nevertheless, remain undere… PubMed ↗Advanced materials (Deerfield … DualGPT-AB: a dual-stage generative optimization framework…
Gene editing Recent Advances in Analytical Techniques for Cancer Diagnostics and Therapeutics: Combining State-of-the-Art Technologies for Precision Oncology. 2026-04-15 Cancer remains a leading global health challenge, necessitating continuous advancements in diagnostics and therapeutics to enhance patient outcomes. According to the recent data of the American Cancer Society, an estimated 20 million new cancer cases and…
AI and biotech Introducing AutoML framework for drug-drug interaction prediction: application of AutoGluon. 2026-04-13 Drug-drug interactions (DDIs) remain a major concern in medication safety. Although advanced artificial intelligence methods such as deep learning have improved DDI prediction, their adoption is limited by the need for specialized expertise and complex model development. This study introduces the…
