tumor protein p53
PulseAugur coverage of tumor protein p53 — every cluster mentioning tumor protein p53 across labs, papers, and developer communities, ranked by signal.
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New AI system Hakken predicts future scientific discoveries
Researchers have developed Hakken, a novel system designed to predict future scientific discoveries by identifying undocumented relationships between concepts. Utilizing a transformer-based model trained on knowledge gr…
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AI predicts lung cancer mutations from scans using multi-label learning
Researchers have developed a multi-label learning approach using deep learning to predict specific gene mutations (EGFR, TP53, and KRAS) in non-small cell lung cancer (NSCLC) from PET/CT scans. The study, conducted on a…
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Evolutionary Curriculum Learning Enhances Biological Sequence Modeling
Researchers have developed a new training strategy called Evolutionary Curriculum Learning (ECL) to improve the performance of Variational Autoencoders (VAEs) in biological sequence modeling. This method leverages the e…
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AI Tools Assessed for Clinical Genomics Applications
A report evaluates AI tools for clinical genomics, focusing on MedGemma, Nemotron RAG, and Kimi K2.5. MedGemma, a Google DeepMind medical LLM based on Gemma 7B, excels at interpreting genetic variants and answering medi…
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OncoTraj benchmark launched for lung cancer drug resistance prediction
Researchers have introduced OncoTraj, a new public benchmark dataset designed to advance the prediction of drug resistance in EGFR-mutant non-small-cell lung cancer. The dataset comprises longitudinal patient trajectori…
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GNN explanation methods reveal disease signatures in biological networks
Researchers have evaluated four popular explanation methods for graph neural networks (GNNs) to understand their effectiveness in identifying disease-associated structures within biological networks. Using synthetic dat…