Original ResearchPublished 12 October 2026Patient perspectives on virtual consultations for type 2 diabetes in the United Kingdom: use, associated factors, and perceived quality of careReham Aldakhil · Geva Greenfield · Albandari Alharbi · Ahmed Alboksmaty · Benedict Hayhoe · Azeem Majeed · Ana Luisa NevesFrontiers in Digital Healthdoi 10.3389/fdgth.2026.1921014
ReviewPublished 6 October 2026A comprehensive review of AI-driven water-quality monitoring and prediction: advances, challenges, and future directionsK. Yukesh Kumar · P. KumaresanFrontiers in Waterdoi 10.3389/frwa.2026.1946412
Mini ReviewPublished 30 September 2026Evolution of deep learning for structural magnetic resonance imaging analysis in Alzheimer’s disease: from slice-level classification to brain structure modelingYunchen Chen · Tingshan Liu · Guanxun ChengFrontiers in Human Neurosciencedoi 10.3389/fnhum.2026.1958462
Original ResearchPublished 29 September 2026Hybrid multi-model framework with knowledge distillation for precise and efficient sickle cell detectionMetta Manikanta Karthikeya Reddy · Cherukuri Krishna Lathvik · Arumuga Arun R · Karthik KFrontiers in Digital Healthdoi 10.3389/fdgth.2026.1938284
Original ResearchPublished 23 September 2026An XGBoost–logistic regression hybrid stacking model for breast cancer outcome predictionOyetayo Oyebisi · Winnie Chacha · Femi AmoyedoFrontiers in Applied Mathematics and Statisticsdoi 10.3389/fams.2026.1931146
Original ResearchPublished 14 September 2026Deep learning-based classification of wet direct seeded rice, broadcasted direct seeded rice and transplanted rice using drone imagery for precision agricultureAmrutha Lakshmi Gubbala · Santosha Rathod · Ramesh Dasyam · Mahender Kumar Rapolu · Arun Kumar Dasari · Pundarikakshudu Kurra · Hanuma Raviteja Madireddy · Prajwal R. Shashishekhar · Ravi V. Mural · Anil Kumar · Raman Meenakshi SundaramFrontiers in Remote Sensingdoi 10.3389/frsen.2026.1698781
Original ResearchPublished 11 September 2026Data-driven adaptive hybrid models for exchange rate return forecastingOlumide Sunday Adesina · Lawrence Ogechukwu ObokohFrontiers in Big Datadoi 10.3389/fdata.2026.1917723
