Auditable AI Framework Ranks Class I HDAC Inhibitors for Cancer Reversal
A leakage-aware, auditable computational framework trained on LINCS L1000 signatures identifies class I HDAC inhibitors, led by Mocetinostat, as top ...
A leakage-aware, auditable computational framework trained on LINCS L1000 signatures identifies class I HDAC inhibitors, led by Mocetinostat, as top ...
A new perspective argues that machine learning, real-time quality control, and autonomous laboratory platforms can transform chemical vapor deposition of ...
Researchers have developed leakage-aware U-Net models that automatically segment solar filaments in ground-based hydrogen-alpha images, offering a scalable path toward ...
A survey-weighted explainable machine-learning analysis of PISA 2018 data from 74,235 students in ten education systems shows that books at ...
Researchers in China developed an acoustic estrus-detection system for dairy cows that compresses continuous barn audio 173-fold while achieving 98.99 ...
Researchers at TUM University Hospital showed that an object-centric digital twin can capture pre-operative patient pathways as structured data ready ...
Researchers have proven that minimizing graph counterfactual explanations is NP-hard and introduced Local Bounded Search, an algorithm that shrinks graph-based ...
Researchers engineered an MspA nanopore with a dual-function boronic acid adaptor and machine learning to identify amino acids, nucleotides, sugars ...
A new Nature Reviews Bioengineering review details how machine learning is transforming nanoparticle drug delivery design, from formulation optimization and ...
Researchers have developed AVP-Pro, a two-stage deep learning framework that identifies antiviral peptides and predicts which virus families and specific ...
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© 2025 Scienmag - Science Magazine