In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Psychological impact of risk-reducing surgery for gynecologic cancer among women with Lynch syndrome. [PDF]
Huband H +8 more
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How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research? [PDF]
Lee Y, Huh S.
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Skin Telocyte Secretome as Conditioned Medium Prevents Profibrotic Differentiation of Skin Fibroblasts into Myofibroblasts. [PDF]
Rosa I +5 more
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Better Inputs, Better Learning: A Peptide Embedding Tutorial for Proteomic Mass Spectrometry. [PDF]
Squires L +4 more
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MetaCAM as an ensemble-based class activation mapping framework improves model explainability. [PDF]
Dick K +8 more
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Four-Dimensional Computed Tomography-Derived Radiolunate Arthrokinematics With a Case Study in Four-Corner Arthrodesis. [PDF]
Trentadue TP +6 more
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