Original ResearchPublished 12 October 2026High performance white blood cell classification using ensemble CNNs with Monte Carlo dropout and conformal prediction for clinical uncertainty quantificationShahid Mehmood · Abeer A. K. Alharbi · Mona Alkhattabi · Muhammad Adnan Khan · Muhammad Amir KhanFrontiers in Medicinedoi 10.3389/fmed.2026.1959061
Original ResearchPublished 2 October 2026Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learningHafiz Aziz Khan · Sonia Akter · Abdur Rahman Lindon · Taslima Akter · Iftekhar Rasul · Mamunur Rahman · Nasrin Akter Tohfa · Iftekhar HossainFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1854934
Original ResearchPublished 27 August 2026Interpretable AI for neural signal decoding in dementia: an EEG ensemble approach to differential diagnosisFawad Muhammad · Irfan Ahmed Usmani · Muhammad Aamir · Mai Alduailij · Mehrez Marzougui · Rab NawazFrontiers in Neuroinformaticsdoi 10.3389/fninf.2026.1902549
Original ResearchPublished 14 July 2026From scattering curves to structural descriptors: interpretable machine learning maps SAXS/WAXS signals to RNA structural details in defined RNA motifsWeiwei He · Serdal KirmizialtinFrontiers in Biophysicsdoi 10.3389/frbis.2026.1769000
Original ResearchPublished 2 June 2026Decoding basal ganglia motor circuit dysfunction from handwriting: a physics-informed neural signal interpretation framework for Parkinson's disease screeningKrishnan Batri · S. Lakshmi · Salabat Khan · Zeshan Iqbal · Mohammad Alhefdi · Ghada Atteia · Sivaram MuruganFrontiers in Neuroinformaticsdoi 10.3389/fninf.2026.1814920
Original ResearchPublished 28 May 2026FUSION-AD: interpretable AI framework for risk assessment and subgroup discovery in Alzheimer's diseaseAbid Iqbal · Saad Arif · Ghassan Husnain · Sarra AyouniFrontiers in Neuroinformaticsdoi 10.3389/fninf.2026.1799307
Original ResearchPublished 15 May 2026Winter warming and snowpack loss synergistically drive amphibian and reptile extirpation: a deep learning attribution study of climatic mechanismsWisam BukaitaFrontiers in Amphibian and Reptile Sciencedoi 10.3389/famrs.2026.1841535
