Results 181 to 190 of about 1,692,958 (373)
Background Biostatistics, epidemiology, and vital statistics are an essential part of evidence-based medicine. They are used to generate results and analyze collected data.
Swapnil Shinkar +4 more
doaj
Editorial: Breakthroughs in Cryo-EM with machine learning and artificial intelligence. [PDF]
Eng ET, Hanson SM, Sanchez-Garcia R.
europepmc +1 more source
Elo Ratings and the Sports Model: A Neglected Topic in Applied Probability?
D. Aldous
semanticscholar +1 more source
HIV‐1 establishes immediate latency in T cells expressing the viral Nef protein
Nef is a viral protein often omitted from HIV‐1 reporter viruses. Consequently, its role in viral latency is unclear. We developed three novel dual reporter HIV‐1 derivatives that express Nef and allow for detection of latent and productive infection. Using these reporters, we show that Nef does not affect the establishment of immediate viral latency ...
Cindy Lam, Ivan Sadowski
wiley +1 more source
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Statistics and Related Topics in Single-Molecule Biophysics [PDF]
Hong Qian, S. C. Kou
openalex +1 more source
ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley +1 more source
Editorial: Mathematical modeling of medication nonadherence. [PDF]
Lawley SD, Gibson TB, Jiao Z.
europepmc +1 more source

