OpenAI has officially introduced ChatGPT Health — a new feature within the ChatGPT platform that allows users to securely connect personal health and medical data to conversations with AI. The product is designed to help users better understand test results, prepare for medical appointments, and receive more personalized health-related answers, without replacing professional medical care.

Utah has become the first U.S. state to formally allow artificial intelligence to autonomously renew prescriptions without a doctor’s direct involvement. The pilot program, implemented in partnership with Doctronic, is set to cover thousands of patients and will focus on routine renewals for chronic conditions, with specific safety limits in place.

How do you redesign the workplace so that women can thrive through every stage of life? We talked about that with Kasia Pokrop, co-founder of 3mbrace Health and Mamamoon, and a women’s health advocate who is helping companies create healthier, more supportive environments through digital tools, expert talks, workshops, and HR training — all centered on the “three M’s”: menstruation, motherhood, and menopause.

AI remote patient monitoring seeks to address a longstanding and complex challenge in medicine: translating chaotic streams of health data into a comprehensible and standardized format. This capability empowers medical professionals to prioritize effectively and respond to challenges in a timely manner. The primary “superpower” of AI is transforming a thousand signals, ex. heart rate spikes, into a single, actionable notification: “Pay attention, there is a problem!”

The gaming industry ceased to be something unserious or just for children long ago. It is a huge market with pharma-level budgets, top-tier development teams, advanced R&D units, and extremely fine-tuned work with human attention, motivation, and behavior. It is only logical that medicine is looking more and more in this direction – if games can keep people engaged for hours, why not use the same mechanics when a patient needs help getting through treatment, rehabilitation, or complex learning?

Diagnosis of respiratory diseases through lung sounds remains one of the most complex clinical tasks. Even experienced physicians admit that auscultation results are often subjective: one specialist hears a pathology, while another does not. Yet these judgments influence critical decisions – whether to hospitalize a patient, prescribe antibiotics, or assess the severity of their condition.