Researchers can better study the effect of compounds on cells with an NCATS resource that incorporates all known pathways in human cells into one database. BioPlanet lets users browse, retrieve and analyze the pathways and explore pathway connections.
NCATS-supported researchers have developed an automated machine-learning approach to diagnose genetic diseases in seriously ill children. This new approach could allow faster diagnosis, initiation of treatment, and, ultimately, better outcomes.
A research framework that enables recruiting of hospitalized patients for a wide range of studies helps identify optimal care approaches during and after hospital stays. Undergraduate students learn about clinical research and are integral to recruitment.
NCATS-supported researchers used machine-learning to develop an innovative device that detects dangerous internal bleeding and monitors a patient’s response to blood loss. The monitor helps medical staff quickly identify appropriate treatment.
NCATS-supported researchers sent miniaturized tissue chip systems to the International Space Station on May 4. Four projects using the systems will support the study of aging-related conditions and potential treatments for them.
People with chronically itchy skin, take heart. NCATS researchers report that blocking a receptor on the surface of spinal cord neurons may help relieve the constant need to scratch. The study appeared online in Science Translational Medicine.
Scientists in NCATS’ Assay Development and Screening Technology program are developing new methods for screening small molecules that could help researchers test possible drugs and develop new treatments for many diseases.
August 15, 2019: Developing Principles of Patient Engagement with The Children’s Inn at NIH
Christopher P. Austin, M.D., examines the significance of patient engagement initiatives like “Ask an Astronaut: Biomedical Science Edition” in translational science. The program teaches residents at The Children’s Inn about NIH research in space and on Earth.