TL;DR: A 2026 computational study in PLOS One used GEO Alzheimer’s datasets, 130 machine-learning models, and molecular simulations to identify eight candidate genes that may sit in a trichostatin A-related Alzheimer’s disease network. Key Findings 949 predicted TSA targets: The analysis started with predicted human protein targets for trichostatin A, a histone deacetylase inhibitor. Five …
TL;DR: A 2026 open-label feasibility trial in IBRO Neuroscience Reports tested an AI-guided variable levodopa schedule in 5 people with Parkinson’s disease and found 4 patients improved on UPDRS, but the study was far too small and uncontrolled to prove efficacy. Key Findings Feasibility sample: The single-center trial enrolled 5 people with Parkinson’s disease after …
TL;DR: A 2026 study in Interactive Journal of Medical Research used structured hospital records plus natural language processing of clinical notes to profile major depressive disorder in Belgium, finding that 46% of 1,147 adults met a real-world treatment-resistant depression definition. Key Findings Belgian EHR cohort: The retrospective study drew from 1,147 adults with major depressive …
TL;DR: A 2026 preprint posted on medRxiv found that iSupport-Malaysia, a culturally adapted multimedia dementia-caregiver platform, scored above the usual usability benchmark and was viewed as culturally appropriate by caregivers and healthcare professionals. Key Findings Four-phase adaptation: The WHO iSupport dementia program was translated into Bahasa Malaysia, culturally adapted, and rebuilt as multimedia e-learning. 23 …
TL;DR: A 2026 Scientific Reports study found that a robot’s utterances shaped expected human-robot relationship structure far more than the robot’s physical appearance in Japanese online scenario experiments. Key Findings Nine pictograms: Researchers built a nine-pictogram questionnaire to capture perceived relationship structures such as balanced contribution, one-sided service, and shared goals. 510-person validation sample: Survey …
TL;DR: A 2026 randomized trial in JMIR Mental Health found that a 4-week executive-function training app reduced depression and anxiety symptoms at 12-week follow-up, while a self-guided CBT app mainly improved workplace well-being. Key Findings Workplace app trial: Participants with mild-to-moderate depression and anxiety symptoms were assigned to waitlist control, NeuroNation executive-function training, or Moodfit …
TL;DR: A 2026 systematic review in BMC Medical Informatics and Decision Making found that AI models using remote-monitoring data were most often studied in Parkinson’s disease, but 56 of 76 prospective studies had high risk of bias. Key Findings 6,668 records were screened: Researchers narrowed the search to 76 prospective studies of machine learning for …
TL;DR: A 2026 study in Acta Neuropathologica Communications used Boolean-network AI analysis of Alzheimer’s RNA-seq data to identify a 40-gene disease signature and validate CgA-KO/PS19 mice as a model of asymptomatic Alzheimer’s-like resilience. Key Findings 289-person training set: Boolean Network Explorer was trained on cortical RNA-seq data from 70 cognitively normal controls and 219 Alzheimer’s …
TL;DR: A 2026 preprint cohort analysis in medRxiv found that about 24.1% of the sample met the PCL-5 threshold for probable post-traumatic stress disorder, or PTSD, while frequent uncensored video exposure was associated with higher PTSD symptom severity after accounting for other risk factors. Key Findings Indirect trauma design: Researchers studied people who were not …
TL;DR: A 2026 preprint in medRxiv reported that REDDI, an interpretable AI pipeline using resting-state magnetoencephalography (MEG), classified four neurodegenerative diseases with mean balanced accuracy of 0.81. Key Findings The dataset covered four disease groups: it included 32 people with mild cognitive impairment, 18 with multiple sclerosis, 20 with Parkinson’s disease, and 39 with amyotrophic …
