Results 141 to 150 of about 6,108,300 (348)

Towards an Education Through and For Social Justice: Humanizing a Life Sciences Curriculum Through Co-Creation, Critical Thinking and Anti-Racist Pedagogy

open access: yesSocial Sciences
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

Flow‐based immunomagnetic enrichment of circulating tumor cells from diagnostic leukapheresis product

open access: yesMolecular Oncology, EarlyView.
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]

open access: yesarXiv
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  

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
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

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

open access: yesMolecular Oncology, EarlyView.
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]

open access: yesarXiv
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  

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