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Artificial intelligence differentiates prefibrotic primary myelofibrosis with thrombocytosis from essential thrombocythemia using digitized bone marrow biopsy images - Leukemia
12+ hour, 45+ min ago (1657+ words) Leukemia (2026)Cite this article In this study, we developed an AI model capable of distinguishing prePMF with thrombocytosis from ET on H&E-stained bone marrow biopsy images, with demonstrated potential utility across patient cohorts and institutions. With only knowledge of…...
Why artificial intelligence detectors could penalize academic writing - Nature Human Behaviour
4+ day, 20+ hour ago (81+ words) Nature Human Behaviour (2026)Cite this article Writing produced using artificial intelligence is becoming more common in academia, which has prompted institutions to look for ways to detect it. Bo Hu warns that an overreliance on fixed linguistic markers may push…...
No-rank tensor decomposition via metric learning - Scientific Reports
1+ week, 3+ day ago (1448+ words) Scientific Reports , Article'number:' (2026) Cite this article Kolda, T. G., & Bader, B. W. Tensor decompositions and applications. SIAM Rev. 51(3), 455500 (2009). Tucker, L. R. Some mathematical notes on three-mode factor analysis. Psychometrika 31(3), 279311 (1966). Kruskal, J. B. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics. Linear…...
A federated graph learning method to realize multi-party collaboration for molecular discovery - Nature Machine Intelligence
1+ week, 4+ day ago (1338+ words) LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436444 (2015). Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493500 (2024). Stokes, J. M. et al. A deep learning approach to antibiotic discovery. Cell 180, 688702.e13 (2020). Hartono, N. T. P. et al. How machine learning can help select capping layers…...
Affective computing has changed: the foundation model disruption - npj Artificial Intelligence
2+ week, 6+ day ago (1490+ words) We proceed to discuss the analysis capabilities of current speech-based FMs. A system capable of analysing arbitrary affective properties of speech data without any tuning must ingest both audio and text inputs. Several FM approaches fulfilling this requirement have been…...
Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region - Scientific Reports
3+ week, 3+ day ago (1693+ words) In the Western Pacific region, the impact of air pollution on health, particularly its association with ACS, mirrors the challenges faced by Malaysia. Urbanization and industrialization contribute significantly to deteriorating air quality in these countries, exacerbating health issues. In this…...
Explainable machine learning-based classification of traditional Korean ceramics using XRF chemical composition data - npj Heritage Science
1+ mon, 6+ day ago (1722+ words) This study used XRF analysis data of traditional Korean ceramics, including celadon, buncheong, and white porcelain, produced during the Goryeo and Joseon dynasties. XRF is a widely used analytical technique for determining the elemental composition of ceramic clay bodies and…...
Artificial intelligence agents in cancer research and oncology - Nature Reviews Cancer
1+ mon, 1+ week ago (1661+ words) Nature Reviews Cancer (2026)Cite this article Topol, E. J. High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 25, 4456 (2019). Gao, S. et al. Empowering biomedical discovery with AI agents. Cell 187, 61256151 (2024). Boiko, D. A., MacKnight, R., Kline, B. & Gomes, G. Autonomous chemical research with large language models. Nature…...
Approaches for accelerating microbial gene function discovery using artificial intelligence
1+ mon, 2+ week ago (1159+ words) Hutchison, C. A. I. et al. Design and synthesis of a minimal bacterial genome. Science 351, aad6253 (2016). Baek, M. et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science 373, 871876 (2021). Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583589 (2021). Lim,…...
Machine learning based optimization of fly ash content for improving geopolymer concrete compressive strength
1+ mon, 3+ week ago (1588+ words) Figure 1 shows the statistical distribution of input and output parameters for the CS modeling. This figure includes the analysis of mean, median, and interquartile range (IQR) for 14 different parameters that influence the mix design and prediction of the FA of…...