Results 171 to 180 of about 4,213,444 (308)
Computational biology: Issues and applications in oncology
"Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the ...
Tuan Pham (9826529), Pham, Tuan
core
Ten simple rules for responsible use of AI and LLMs in computational biology. [PDF]
Auslander N.
europepmc +1 more source
A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham +7 more
wiley +1 more source
When models choose metrics: Hidden geometry in computational biology. [PDF]
Fox DM.
europepmc +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
ECCB 2026: the 25th European Conference on Computational Biology. [PDF]
Beerenwinkel N +3 more
europepmc +1 more source
Objective To assess the validity of the Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert +43 more
wiley +1 more source
Linking sequence to function in microbial genomics
Thesis: Ph. D., Massachusetts Institute of Technology, Computational and Systems Biology Program, 2017.This electronic version was submitted by the student author.
Spencer, Sarah Jean
core
Advances in computational biology approaches for digital modeling of tumor microenvironment. [PDF]
Ming W +5 more
europepmc +1 more source

