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Regression to the mean inflates accuracy in machine learning prediction of symptom change - Nature Mental Health
1+ hour, 45+ min ago (277+ words) Nature Mental Health (2026) Cite this article Predicting symptom change is a key goal of machine learning in mental health. However, models can seem more accurate than they are due to regression to the mean, a common statistical effect often overlooked…...
Deep Reinforcement Learning-based combat recognition of traditional Chinese Sanda under artificial intelligence technology | Scientific Reports
1+ week, 9+ hour ago (33+ words) Scientific Reports (2026) Cite this article The authors acknowledge the help from the university colleagues. Correspondence to Haohua Li. Training pipeline of the proposed model. Received: 26 April 2026 Accepted: 13 July 2026...
A unifying framework from neural superposition to sparse interpretable codes - Nature Machine Intelligence
1+ week, 3+ day ago (1653+ words) Nature Machine Intelligence (2026) Cite this article von Helmholtz, H. in The Selected Writings of Hermann von Helmholtz (ed. Karl, R.) (Wesleyan Univ. Press, 1971). McCulloch, W. S. & Pitts, W. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5, 115–133 (1943). Kleene, S. in Automata…...
Collection policies | From Theory to Application: Advances in Multi‑Agent Systems/Frameworks
2+ week, 6+ day ago (185+ words) This Collection in npj Artificial Intelligence seeks to showcase cutting‑edge research that bridges algorithmic innovation with practical deployment. We invite contributions that highlight both the conceptual depth of MAS frameworks and their applied impact in diverse environments. This Collection…...
Data-driven surrogates of rational design enable antimicrobial peptide optimization - Nature Machine Intelligence
4+ week, 1+ day ago (212+ words) Generative AI for biology Nature Machine Intelligence (2026) Cite this article Rising pathogen drug resistance makes next-generation antimicrobial peptides a global priority. Generative AI accelerates discovery by rapidly proposing new peptides with high therapeutic potential. The key question is no longer…...
Spatially interpretable artificial intelligence framework to tailored neoadjuvant dual HER2 blockade in HER2-positive breast cancer | Signal Transduction and Targeted Therapy
1+ mon, 5+ day ago (1689+ words) To ensure robust development, external validation, and clinical applicability of the model, we systematically integrated multiple distinct cohorts representing a range of treatment scenarios and clinical settings, ultimately including a total of 1,249 patients with HER2-positive breast cancer for analysis (Fig....
Offline reinforcement learning for care management: addressing sparse rewards, temporal dependencies, and fairness in Medicaid populations - npj Digital Public Health
1+ mon, 3+ week ago (1608+ words) npj Digital Public Health has APC waivers available that can be allocated upon acceptance on an ad-hoc basis. For additional information, contact the Journal Publisher, Tony Chen. npj Digital Public Health volume 1, Article number: 15 (2026) Cite this article In contrast, the…...
Machine learning and deep learning-based drug-drug interactions prediction: a systematic review focused on anticancer drugs - npj Precision Oncology
1+ mon, 3+ week ago (100+ words) npj Precision Oncology (2026) Cite this article This study was supported by the HKUMed Research Collaboration Booster Fund from The University of Hong Kong. These authors contributed equally: Yingying Zhao, Jiaqi Wang. Stanford Center for Digital Health, Stanford University, Stanford, CA,…...
Elevating universal interatomic potentials with large-scale off-equilibrium data - Nature Computational Science
1+ mon, 3+ week ago (166+ words) Nature Computational Science (2026) Cite this article Yuan, E. C.-Y. et al. Nat. Rev. Chem. 10, 212–230 (2026). Chen, C. & Ong, S. P. Nat. Comput. Sci. 2, 718–728 (2022). Deng, B. et al. Nat. Mach. Intell. 5, 1031–1041 (2023). Merchant, A. et al. Nature 624, 80–85 (2023). Batatia, I. et al. J. Chem. Phys. 163, 184110 (2025). Riebesell,…...
Attention-enhanced variational learning for physically informed discovery of exceptionally hard multicomponent bulk metallic glasses - Nature Communications
2+ mon, 1+ week ago (1702+ words) The five candidate compositions (designated A1–A5, Table 1) were experimentally investigated to test whether the predicted high hardness and load dependence translated to bulk MMGs under practical processing and measurement conditions. Figure 3 summarizes the synthesis and the structural, thermal, and mechanical characterization…...