Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT. [PDF]
David MA +5 more
europepmc +1 more source
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
Using machine learning to predict the small for gestational age and identify the important predictors: A real-world clinical cohort study in China. [PDF]
Zhang Y, Liu Z, Liu J, Chen J, Zhang X.
europepmc +1 more source
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
Dynamic machine learning approach for workload prediction in cloud environments. [PDF]
Nashaat M, Moussa W, Rizk R, Saber W.
europepmc +1 more source
Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation. [PDF]
Osatohanmwen BE +5 more
europepmc +1 more source
Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort. [PDF]
Fedkov D +9 more
europepmc +1 more source
Comparative assessment of machine learning models for polymer solution viscosity prediction in enhanced oil recovery. [PDF]
Belkhir SA +5 more
europepmc +1 more source

