Results 121 to 130 of about 889,273 (265)
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Intention to disclose medical errors by healthcare providers to patients and associated factors in Ugandan health facilities: A cross-sectional study. [PDF]
Alupo C, Izudi J, Ddamulira C.
europepmc +1 more source
"Multivariate analysis of the impact of sleep and working hours on medical errors: a MICE approach". [PDF]
Mul Fedele ML +11 more
europepmc +1 more source
Drugs previously repurposed to target blood cancers reduced neuroblastoma and glioblastoma cell growth and viability. However, their levels of anticancer activity were different and their clinical application may be problematic due to side effects at effective doses.
Abhishek Kharawatkar +4 more
wiley +1 more source
Anesthesi̇a students' behavi̇ors towards a medi̇cal errors: a phenomenologi̇cal quali̇tati̇ve scenari̇o study. [PDF]
Karadeni̇z H, Erkuran H.
europepmc +1 more source
Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta +7 more
wiley +1 more source
Why Do We Fail at Reducing Medical Errors? Assuming Responsibility to Leverage Failure into Improvement. [PDF]
Brezis M.
europepmc +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source

