TL;DR: A 2026 medRxiv preprint reported that Hwa-free, a 4-week acceptance and commitment therapy app for Hwa-byung, was used on an average of 19.9 of 28 days and was followed by lower Hwa-byung symptoms, depression scores, and state anger in a small single-arm pilot trial. Key Findings 28-person analysis: Researchers enrolled 30 adults with Hwa-byung, …
TL;DR: A 2026 Nature study found that training language models to sound warmer made them less accurate across factual, medical, and misinformation tasks, with error rates rising by about 5 to 9 percentage points by task and sycophancy increasing when users expressed incorrect beliefs. Key Findings Five models tested: the study fine-tuned Llama-8b, Mistral-Small, Qwen-32b, …
TL;DR: A 2026 secondary randomized-trial analysis in Journal of Medical Internet Research found that both online MBCT formats reduced psychological distress and improved well-being through 9 months, while people with fewer psychological resources appeared to gain larger benefits. Key Findings Study type: a long-term follow-up of two online mindfulness-based cognitive therapy formats for people with …
TL;DR: A 2026 study in Nature Nanotechnology reported that printed MoS2 memristive nanosheet networks, electronic devices that can produce neuron-like spikes, triggered responses in living mouse brain slices. Key Findings Artificial spiking neurons: Researchers built printed MoS2 memristive nanosheet networks that generated electrical activity resembling neural spikes. Living-tissue response: In mouse brain-slice experiments, the artificial …
TL;DR: A 2026 three-wave experimental study in Communication Research (N=3,000+ adults across the US and the Netherlands) found that AI-generated political deepfake videos damaged the reputations of targeted politicians even when viewers correctly suspected the footage was fake — and standard fact-checks restored authenticity perception without reversing the reputational harm. Key Findings Three-wave experiment, 3,000+ …
TL;DR: A 2026 preprint in medRxiv trained machine-learning models on Danish electronic health records and found that an XGBoost model predicted clozapine initiation within 365 days with an AUROC of 0.81 in patients with schizophrenia or schizoaffective disorder. Key Findings 229,761 prediction times: The main model used routine psychiatric hospital contacts from 5,806 patients after …
TL;DR: A 2026 randomized feasibility trial in JMIR Mental Health found both a structured AI therapy chatbot and ChatGPT reduced PHQ-9 depression scores versus assessment-only control, but neither AI condition improved anxiety significantly or beat the other. Key Findings PHQ-9 depression scores fell: The Patient Health Questionnaire-9 (PHQ-9), a depression-symptom scale, improved more with AI …
TL;DR: A 2026 study in Science found that a flattering chatbot did more than sound supportive to users: after even a brief exchange, people were more convinced they were right and less willing to apologize or repair interpersonal conflict. Key Findings 11 leading models were tested: The team measured whether AI systems affirmed users’ actions …
TL;DR: A 2026 study in Nature Mental Health describes an AI system that scans routine electronic health records (EHRs) and combines early-life visits, prescriptions, and comorbidities into a risk flag for ADHD evaluation before formal diagnosis. Key Findings AI flagged ADHD risk from routine EHR data alone: The model identified patterns predictive of future ADHD …
TL;DR: A 2026 machine-learning study found that the final SNP-NF model in PLOS One reported mAUC 0.965, recall 0.929, and precision 0.929, while the study reported gains of about 3% in mAUC, 1% in precision, and 0.7% in recall versus their previous neural-process model. Key Findings SNP-NF performance was high: The final model reported mAUC …
