ai therapy
20 articles about ai therapy in AI news
AI Chatbot Improves Mexican Women's Mental Health by 0.3 SD in RCT
AI therapy chatbot RCT on Mexican women: 0.3 SD mental health improvement over 6 months, no severe case increase, plus labor market gains.
Balancing Empathy and Safety: New AI Framework Personalizes Mental Health Support
Researchers have developed a multi-objective alignment framework for AI therapy systems that better balances patient preferences with clinical safety. The approach uses direct preference optimization across six therapeutic dimensions, achieving superior results compared to single-objective methods.
AI-Powered Digital Twins Herald New Era of Personalized Cancer Radiotherapy
Researchers have developed COMPASS, an AI system that creates patient-specific digital twins to predict radiation toxicity in lung cancer patients. By analyzing real-time treatment data, it identifies early warning signs days before clinical symptoms appear, enabling truly adaptive radiotherapy.
Inner Ear Gene Therapy Injection Reverses Deafness in All 10 Patients in Clinical Trial
A clinical trial has reported that a single injection of gene therapy into the inner ear successfully reversed deafness in all ten participating patients. This marks a significant threshold in treating genetic hearing loss, with some patients regaining hearing within weeks.
AI-Driven Age-Reversal Therapy Enters First Human Trials
An AI-discovered therapeutic approach for biological age reversal has advanced to its first human trials. This milestone validates the use of AI for identifying novel geroprotective compounds.
Anthropic's Claude Adds Mental Health Features: Journaling, CBT, Reframing
Anthropic has expanded Claude's capabilities to include guided mental health journaling, cognitive behavioral therapy (CBT) exercises, and emotional reframing techniques. This moves the AI assistant beyond general conversation into structured therapeutic support.
Study: People Rely on AI for Medical Advice, But Quality Evidence Lags
A new paper reveals people are frequently using AI for medical advice, but most research uses outdated models and lacks comparison to the non-AI information people would otherwise seek.
Mo Gawdat: AI Will Take Many Jobs in Under 5 Years
Mo Gawdat, former Chief Business Officer at Google, stated AI will take many jobs in under five years but will never replicate the human connection aspect. He emphasized the real danger of this economic displacement.
AI-Reprogrammed Immune Cells Cure 3 Autoimmune Diseases in First Human Case
For the first time, a patient with three autoimmune diseases is in complete remission after doctors used AI to reprogram her own immune cells. This follows over a decade of requiring daily blood transfusions.
AheadFrom Unveils 'Scary Human' Robotic Face with Advanced AI Animation
AheadFrom has revealed a new robotic face with AI-driven animation that users describe as 'scary human.' The system uses real-time AI to generate facial expressions and lip-syncing.
AI-Powered Breakthrough: Sydney Founder Creates Personalized mRNA Cancer Vaccine for Dog
A Sydney tech founder used ChatGPT and AlphaFold genetic data to design a personalized mRNA cancer vaccine for his dog Rosie after traditional treatments failed. Within weeks, a major tumor shrank by approximately 50%, demonstrating how AI could accelerate personalized cancer therapies.
The Global Race for Physical AI: How Embodied Intelligence is Reshaping Industries
Physical AI is experiencing unprecedented momentum as robotics, manufacturing, and autonomous systems converge with advanced AI. This global technological race promises to transform industries from healthcare to logistics by 2026.
Beyond Logic: How EMO-R3 Teaches AI to Reason About Human Emotions
Researchers have developed EMO-R3, a novel framework that enhances emotional reasoning in multimodal AI systems. Using reflective reinforcement learning, it enables AI to better understand and interpret human emotions in visual contexts, addressing a critical gap in current models.
The Coming Revolution: How AI-Powered Biotech Could Make Aging Obsolete Within Two Decades
Harvard geneticist David Sinclair predicts biotechnology advances will transform healthcare within 10-20 years, shifting from treating diseases to preventing and reversing aging itself through AI-driven biological control.
AI Role-Playing Agents Learn to Defend Themselves Through Adversarial Evolution
Researchers have developed a novel framework that enables AI role-playing agents to autonomously strengthen their defenses against jailbreak attacks while maintaining character fidelity. The dual-cycle system creates progressively stronger attacks and distills defensive knowledge without requiring model retraining.
LLaMo: The First Truly Unified Motion-Language AI Model That Understands and Generates Human Movement
Researchers have developed LLaMo, a groundbreaking AI model that unifies motion understanding and generation with language capabilities. Unlike previous approaches that suffered from catastrophic forgetting, LLaMo preserves linguistic knowledge while achieving real-time motion generation at over 30 FPS.
Claude AI Generates Weekly Meal Plans with Nutrition Goals
A prompt library demonstrates Claude's ability to create personalized weekly meal plans that meet specific nutrition targets, potentially saving users hundreds on groceries and dietitian fees.
Cog: Add Persistent Memory and Self-Reflection to Claude Code with Just Markdown
Cog is a plain-text cognitive architecture for Claude Code that adds persistent memory, self-reflection, and foresight using only CLAUDE.md files—no servers or dependencies.
OpenMedKit Adds GLiNER for On-Device PII Detection on iPhone
OpenMedKit is adding the GLiNER zero-shot named entity recognition framework to its toolkit, expanding its on-device, privacy-preserving PII detection capabilities for healthcare data on iPhones.
Anthropic Paper: 'Emotion Concepts and their Function in LLMs' Published
Anthropic has released a new research paper titled 'Emotion Concepts and their Function in LLMs.' The work investigates the role and representation of emotional concepts within large language model architectures.