AI and biotech Updates on tuberculosis imaging. 2026-04-23 Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist despite advances in microbiologic and molecular testing. Over the past decade, molecular imaging, especially with FDG PET/CT, has transformed our underst… PubMed ↗Seminars in nuclear medicine Liposome-Based Drug…
AI and biotech Liposome-Based Drug Delivery Systems: Mechanisms, Preparation Strategies, Clinical Status, and Therapeutic Applications. 2026-04-23 Nanotechnology-based drug delivery systems have significantly advanced modern pharmaceutics by addressing limitations associated with conventional therapies, including poor solubility, rapid systemic clearance, and nonspecific drug distribution. Among various nanocarriers, liposomes remain one of th… PubMed ↗AAPS PharmSciTech Updates on…
AI and biotech Liposome-Based Drug Delivery Systems: Mechanisms, Preparation Strategies, Clinical Status, and Therapeutic Applications. 2026-04-23 Nanotechnology-based drug delivery systems have significantly advanced modern pharmaceutics by addressing limitations associated with conventional therapies, including poor solubility, rapid systemic clearance, and nonspecific drug distribution. Among various nanocarriers, liposomes remain one of th… PubMed ↗AAPS PharmSciTech Updates on…
AI and biotech Liposome-Based Drug Delivery Systems: Mechanisms, Preparation Strategies, Clinical Status, and Therapeutic Applications. 2026-04-23 Nanotechnology-based drug delivery systems have significantly advanced modern pharmaceutics by addressing limitations associated with conventional therapies, including poor solubility, rapid systemic clearance, and nonspecific drug distribution. Among various nanocarriers, liposomes remain one of th… PubMed ↗AAPS PharmSciTech Updates on…
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…
