标签：#health

Day 48 of building GoDavaii, and the toughest problem isn't the sheer volume of allopathic medicines or the complexity of their interactions. It's the invisible logic of 'Desi Ilaaj' - the home remedies and traditional practices deeply ingrained in Indian families for generations. When everyone knows the comfort and efficacy of 'haldi-doodh' (turmeric milk) for a cold, how does an AI health platform authentically verify and integrate that knowledge without replacing professional medical advice? This isn't just a cultural nod; it's a fundamental challenge for any health AI truly built for India. Global competitors like Epocrates or drugs.com, while excellent within their scope, are entirely English-centric and focused on Western allopathic data. They have no framework for the millions of people who search for health guidance in Hindi, Tamil, or Marathi, and whose first instinct for a cough might be a herbal concoction, not an over-the-counter syrup. The Unspoken Truth About India's Health Landscape For a vast majority of Indian families, health decisions often involve a blend of modern medicine and traditional wisdom. From specific herbs to dietary adjustments passed down through generations, these practices are effective for many minor ailments. Yet, in the digital health space, they're largely ignored. Why? Because the data is fragmented, often anecdotal, and doesn't fit neatly into structured pharmacological databases. It's a goldmine of practical health knowledge, but also a minefield for safety if not handled with care. My realization as Pururva Agarwal, 27-year-old founder of GoDavaii, was simple but profound: if we truly want to serve families coming online in their mother tongue, our AI needs to understand and interact with this context. This means going far beyond just translating English medical terms into 22+ Indian languages. It means building a knowledge graph that can intelligently cross-reference traditional remedies with known active compounds, potent

Imagine your smartwatch detects an irregular heart rhythm at 3 AM. Instead of just waking you up with a frantic "beep," an AI agent immediately analyzes your historical health data, searches for the best cardiologist nearby, and prepares a calendar invite for a consultation. This isn't science fiction—it's the power of Healthcare Automation driven by AI Agents . In this tutorial, we are diving deep into LangGraph , the cutting-edge framework for building stateful, multi-agent applications. We’ll explore how to use State Machines to orchestrate a complex medical workflow, moving from an "Abnormal Heart Rate Alert" to a "Specialist Appointment" using the Tavily API for research and Twilio for urgent notifications. By the end of this guide, you’ll understand how to manage non-linear LLM workflows that require reliability and precision. The Architecture: Why LangGraph? Traditional LLM chains are linear. But medical emergencies are not. They require loops, conditional branching (e.g., "Is this an emergency or a routine check-up?"), and state persistence. LangGraph allows us to define a graph where each node is a function and edges define the transition logic. Data Flow Overview The following diagram illustrates how our agent processes a heart rate alert: graph TD A[Start: Heart Rate Alert] --> B{Severity Triage} B -- Emergency --> C[Twilio: Alert Emergency Services] B -- High Risk --> D[Tavily API: Find Best Specialist] B -- Normal/Review --> E[Log to Health Records] D --> F[Google Calendar: Draft Appointment] F --> G[Twilio: SMS Patient Confirmation] C --> H[End] G --> H E --> H Prerequisites 🛠️ To follow along with this advanced tutorial, you'll need: Python 3.10+ LangGraph & LangChain : The orchestration engine. Tavily API Key : For searching local medical specialists. Twilio Account : For SMS/Voice alerting. An OpenAI API Key (GPT-4o is recommended for medical reasoning). Step 1: Defining the Agent State In LangGraph, the State is a shared schema that evolves as it m

In the end, the three companies involved all point the finger at each other.

Applications for Startup Battlefield 200 officially close on June 8, 11:59 p.m. PT. Don't wait any longer. Secure your shot at competing on the Disrupt Stage at TechCrunch Disrupt 2026 this October at San Francisco's Moscone West.

If you build, run, or audit systems that touch protected health information (PHI), the HIPAA risk assessment is the document that quietly decides whether the next OCR investigation ends in a closure letter or a corrective action plan with a six-figure settlement. The proposed 2026 HIPAA Security Rule update (published as an NPRM in January 2025, still pending finalization at OCR) doesn't change the underlying requirement at 45 CFR § 164.308(a)(1)(ii)(A) — and OCR has repeatedly reaffirmed that the absence of a current, written risk analysis is itself the most-frequently-cited Security Rule deficiency . This is the engineering view: what a defensible HIPAA risk assessment actually contains in 2026, how to model it, and what tooling fits the workflow. 1. The asset inventory is non-negotiable Every defensible HIPAA risk assessment starts with a complete inventory of where ePHI lives, where it flows, and who touches it. If you can't enumerate every system, every integration, and every workforce role that creates / receives / maintains / transmits ePHI, the rest of the assessment is built on sand. A minimal asset-inventory record per system: { "system_id" : "ehr-prod-01" , "system_type" : "ehr" , "ephi_states" : [ "create" , "receive" , "maintain" , "transmit" ], "data_classification" : "phi-high" , "hosting" : { "type" : "saas" , "vendor" : "epic" , "region" : "us-east-1" }, "workforce_roles_with_access" : [ "clinician" , "billing" , "admin" ], "integrations" : [ { "to" : "billing-system" , "protocol" : "hl7-fhir" , "direction" : "outbound" }, { "to" : "patient-portal" , "protocol" : "https-rest" , "direction" : "bidirectional" } ], "encryption_at_rest" : true , "encryption_in_transit" : true , "mfa_enforced" : true , "audit_log_destination" : "central-siem" , "ba_agreement_on_file" : true , "last_reviewed" : "2026-05-15" } If you don't have this, build it before you do anything else. The HHS-provided ONC SRA Tool walks through asset enumeration but it's optimized for s

In between beef tallow fries, raw milk, and vaccine denialism, Make America Healthy Again figureheads have set their sights on another slice of life: our clothing. "The MAHA movement doesn't stop with what we EAT - It's also about what we WEAR," Secretary of Agriculture Brooke Rollins said in a post on X in late […]

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. A few days ago, I walked into the basement of a midtown gym. Smoothies and healthy snacks were passed out. […]

This week I’ve been at SXSW London. There’s been music, film, and a lot—and I mean a lot—of talk about AI. I also had the opportunity to sit down with Gloria Mark, a psychologist at the University of California, Irvine, who has spent the last 30 years studying how people interact with digital technologies. Early…

This specific undertaking is not fundamentally burdensome in terms of labor; however, this endeavor serves as the crucial support for my unwavering commitment to see it through to its ultimate conclusion. It is precisely the motivation behind my relentless 72-hour shifts and the impetus that prevents me from ceasing my efforts. My affection amidst my grief—my aspiration is to assist others and ensure that the tragedy you experienced is never repeated. Caitlyn Walmsley, RIP. I will love you always.

I work on a computer all day. Multiple projects, lots of switching, constant interruptions. A while back I noticed I was losing track of my own work. Not really the big things but mostly the small stuff. The decision I made on Tuesday about why I structured something a certain way. The thing I was halfway through when a Slack message pulled me away. The task that never made it onto any list because it felt too small to write down (but I ended up forgetting about after lunch until 2 days later). By Friday I'd look back at the week and genuinely struggle to piece together everything I actually did. I tried obsidian (and still actively use it). I also tried just being more disciplined. None of it fully stuck because the friction of capturing things manually meant I only ever captured the stuff I already remembered. The messy ad-hoc stuff that actually eats a lot of my time never made it anywhere. I'm curious if other people deal with this. Not the big project management stuff because that's mostly solved, but rather, the stuff in between. The context that lives in your head and disappears the moment you get interrupted. How do you handle it?

The USDA this week confirmed the first known infection of the carnivorous fly larva, which feast on the flesh of living mammals, after the United States eradicated the nightmare bugs in the 1960s.

Some of the AI industry's biggest rivals have put their many, many grievances aside for a common cause: making it harder for people to use their technology to develop biological weapons. In an open letter to US lawmakers, tech leaders are pressing Congress to enact rules closing what they say is an alarming biosecurity gap […]

If confirmed, it would be the fly's first breach of the US-Mexico border.

By the time the Children's Hospital closed its doors to trans patients, Sage had already stopped taking testosterone. A nonbinary high school student, they originally received treatment for the rapid onset of puberty. The changes their body experienced felt frightening and sudden. They developed PMOS, a relatively common hormonal disorder that can lead to hair […]

The number of cases falls from 1,100 to 437 with increased testing.

Amid a raging Ebola outbreak, officials "urgently accelerate development" of vaccines.

Even Danish researchers think it's bizarre.

Though Gen Z has developed a reputation for being so disinterested in sex that they don't even want to see it on TV, the popularity of series like Heated Rivalry and The Summer I Turned Pretty has made it very clear that more than a few young people do, in fact, like their entertainment a […]

I tested the top sleep wearables for every type of sleeper, including devices from Oura, Whoop, and Eight Sleep.

Sellers of products with names like Boner Bears and DTF have voluntarily recalled their products after testing positive for the active ingredients in Viagra and Cialis.