Original ResearchPublished 12 October 2026Explainable machine learning for identifying high-risk Alzheimer's disease and key health characteristics among community-dwelling adultsHuanhuan Zhao · Bai Qin · Zengli Zou · Pingjing WenFrontiers in Public Healthdoi 10.3389/fpubh.2026.1943300
Original ResearchPublished 9 October 2026Development and external validation of an explainable machine learning model for identifying depressive symptoms in middle-aged and older adults with low haemoglobin: a prediction-model studyQilong Wang · Juan He · Siheng Ma · Jianpeng Zhao · Jingjing Zong · Dongmei Ma · Sha Liu · Lei Zhang · Xin Qi · Dongrong ZhaoFrontiers in Nutritiondoi 10.3389/fnut.2026.1846276
Original ResearchPublished 9 October 2026Radiomics-based interpretable machine learning model for identifying high-risk patients with small bowel obstruction: a multicenter studyGuozheng Zhang · Xiaohui Liu · Weitao Huang · Xisong Zhu · Cong Xia · Hua Xia · Yuguo Wei · Xiaowei Han · Danqiong WangFrontiers in Medicinedoi 10.3389/fmed.2026.1848334
Original ResearchPublished 8 October 2026Spatiotemporal patterns and driving mechanisms of interactions among cropland ecosystem services in the Loess Hilly–Gully Region: a case study of Yanchuan County, Shaanxi ProvinceLerong Li · Jing Yuan · Yuye Gong · Yanming Chen · Jie Meng · Yingchao LiuFrontiers in Environmental Sciencedoi 10.3389/fenvs.2026.1893432
Original ResearchPublished 7 October 2026DepressNet: an interpretable machine learning framework for depression severity stratification using psychometric dataAnika Rahman · Fahmid Al Farid · Md Humaion Kabir Mehedi · Jia Uddin · Hezerul Bin Abdul KarimFrontiers in Computer Sciencedoi 10.3389/fcomp.2026.1901490
Original ResearchPublished 6 October 2026scTIME: single-cell-informed interpretable modeling of immunotherapy-associated immune states in non-small cell lung cancerGuozhi Chen · Chenqiu You · Hong Gao · Chengjie XuFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1918104
Original ResearchPublished 5 October 2026An interpretable machine learning model for MRI-based morphological classification of lumbar disc herniation using functional biomechanical featuresGuanghui Yuan · Can Cui · Yong Xu · Bin XueFrontiers in Bioengineering and Biotechnologydoi 10.3389/fbioe.2026.1856872
Original ResearchPublished 5 October 2026Interpretable machine learning prioritizes transcriptomic features associated with ferroptosis-mitochondrial permeability transition net activity states in cervical cancerHuiying Zhang · Yidong Zhu · Weijie Shao · Kai XuFrontiers in Geneticsdoi 10.3389/fgene.2026.1930345
Original ResearchPublished 2 October 2026An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexiaKeduo Huang · Pengxiang Zuo · Xuemei Luo · Chun Ji · Fang Yang · Yuhao Huang · Xiaole WangFrontiers in Human Neurosciencedoi 10.3389/fnhum.2026.1976311
OpinionPublished 11 September 2026Ten key considerations for developing interpretable risk prediction modelsXi Zhang · Wenjie Xu · David R. SmithFrontiers in Bioinformaticsdoi 10.3389/fbinf.2026.1878681
Original ResearchPublished 1 September 2026Exploring aesthetic judgments of modern sculptures in virtual reality: a multimodal machine learning approachSelina C. Wriessnegger · Zoryana AndrusyakFrontiers in Virtual Realitydoi 10.3389/frvir.2026.1804634
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
TuberculosisPublished 2 April 2025Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learningEthan Bustad · Edson Petry · Oliver Gu · Braden T. Griebel · Tige R. Rustad · David R. Sherman · Jason H. Yang · Shuyi MaFrontiers in Tuberculosisdoi 10.3389/ftubr.2025.1500899
