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Degree awarding gaps highlight the inequitable outcomes of higher education (HE) for racially minoritized students in the UK. This ongoing issue has been described as a “wicked problem”, directly related to structural racism, or policies and practices ...
Amy Maclatchy+4 more
doaj +1 more source
The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens+8 more
wiley +1 more source
Computing in the Life Sciences: From Early Algorithms to Modern AI [PDF]
Computing in the life sciences has undergone a transformative evolution, from early computational models in the 1950s to the applications of artificial intelligence (AI) and machine learning (ML) seen today. This paper highlights key milestones and technological advancements through the historical development of computing in the life sciences.
arxiv
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever+1 more
wiley +1 more source
(1) First Course in General Science (2) The Science of Everyday Life (3) A First Book of General Science: An Introduction to the Scientific Study of Animal and Plant Life [PDF]
Camille Bryant
openalex +1 more source
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren+16 more
wiley +1 more source
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning [PDF]
Recent advancements in machine learning-based methods have demonstrated great potential for improved property prediction in material science. However, reliable estimation of the confidence intervals for the predicted values remains a challenge, due to the inherent complexities in material modeling. This study introduces a novel approach for uncertainty
arxiv
National academy of sciences elects new life members [PDF]
W. A. B. Coolidge
openalex +1 more source