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In India ,database of patient information will help in accurate diagnosis , efficient treatment , better prognosis ,less chances of error and even predicting the future Healthcare issues . starting a company who does this will be medical unicorn 🦄.

The Indian pathology market was valued at approximately $7.5 billion in FY23, with projections indicating growth to $14.4 billion by FY28 at a CAGR of around 14%. This robust growth is fueled by several factors, including: * Rise in chronic di

Hey guys, I'm Sanket, and I'm thrilled to introduce healthsscan.com - an AI-driven platform revolutionizing healthcare! - Get personalized health analysis reports from text-based image reports. - Daily check-ins for managing chronic conditions

I am currently working on veterinary networking,e-learning and telemedicine platform - Vetex with a unique feature called Case Study & Disease Tracking Feature Vetex allows veterinary students and professionals to upload and compare clinical cas

I’m a final-year MBBS student curious about how startups solve real clinical problems. Looking to learn by working closely with a HealthTech or Med-Ed team, not for money, but for exposure and understanding. I can help with clinical inputs, content r

Hi Innovators and Investors, I'm Sanket, and I'm thrilled to introduce healthsscan.com (MVP STAGE BIT WORKING PROPERLY) - an AI-driven platform revolutionizing healthcare! 🌟 Get personalized health analysis reports from text-based image reports 🌟

“Think in Systems, Not Symptoms” 1. The Problem With Symptom-Based Thinking Traditional medicine often works like this: Symptom → Diagnosis → Drug If tired: Rule out anaemia, hypothyroid, depression. If bloated: Rule out IBS, lactose intolerance,

hi this is my idea imagine you are having fever vomitings and u stay away from home either in flat or pg u need to eat soft diet but u cant get from online or thru pg hw about having a disease specific diet which can make u feel better and prevent u

I have a training model on breathing coughing and wheezing, The training data used are from a smartphone microphone with an all environment and noise condition. Also trained the same model on an electronic stethoscope chest sound. Initial prediction

Don’t wait for a divine intervention. Be the divine intervention. Be the guy about whom they say: “We were doomed until he walked in.” “Everyone thought the business was dead… and then he entered.” Be the one who breaks stereotypes, rewrites the sc