Recent advances in high-throughput proteomics enable the measurement of thousands of proteins simultaneously, offering unprecedented insight into human health and disease. A new review summarizes how proteomic technologies, combined with artificial intelligence, are transforming biomarker discovery, disease prediction, and drug development, highlighting their growing role in advancing precision medicine.

Peer-reviewed study confirming strong predictive performance of patient-specific lung digital twins, validated against clinical imaging data

Whole-lung, physics-based modeling enables locally resolved prediction of drug deposition, addressing a central challenge in inhaled drug development

Validated lung digital twin technology forms the foundation of Ebenbuild’s platform applications, supporting translational research today and regulated clinical use in the future

Every thought, memory, and feeling we experience depends on trillions of tiny connection points in the brain called synapses. These are the junctions where one neuron passes signals to another, forming the vast communication network known as the connectome—the brain’s wiring diagram. Although scientists have developed powerful tools to increase or decrease neural activity, directly redesigning the brain’s physical wiring has remained far more difficult.

A research team led by Dr. LEE Sangkyu and Director C. Justin LEE at the Center for Memory and Glioscience within the Institute for Basic Science (IBS), in collaboration with Dr. LEE Kea Joo of the Korea Brain Research Institute (KBRI), has now developed a molecular tool that makes such structural editing possible. The new platform, called SynTrogo (Synthetic Trogocytosis), enables researchers to induce astrocytes to selectively remodel synaptic connections in a targeted brain circuit.

SWIFTT is a forest management platform that combines the rich Copernicus Sentinel satellite data and powerful machine learning models. It helps foresters identify changes in tree health, map dieback in their forests and coordinate sanitary cuts, map windthrow damage, and identify areas at high risk of and damaged by wildfires.

An international group have discovered associations between pathogenic variants of the BRCA 1 and 2 genes and four types of cancer. Published in ESMO Open, the findings expand the potential for personalized medicine to several cancer types that currently have limited treatment options and poor prognoses.

Researchers at China Agricultural University have developed an ovarian follicle-based angiogenesis microphysiological system, or OF-AMPS, for rapid and quantitative screening of anti-angiogenic compounds. The platform uses growing ovarian follicles as natural angiogenic microphysiological units and forms complex 3D vascular networks within 24 hours without exogenous VEGF. In a screen of 406 small molecules, OF-AMPS identified compounds with selective anti-angiogenic activity, predicted in vivo efficacy, and helped prioritize Ki8751, which later suppressed tumor growth in a human xenograft model.