Ai Healthtech Startup Case Studies

Learn How Entrepreneurs Are Building Successful AI Health Technology Startups

What you'll learn

Understand how successful entrepreneurs built AI startups focused on health.

Learn bootstrapping strategies for launching capital-efficient AI startups in the health domain.

Analyze real-world case studies to identify key success factors for AI HealthTech ventures.

Explore how AI platforms and domain expertise combine to create scalable health tech solutions.

Requirements

The only requirement for this course is an open mind and a willingness to learn.

Description

The 1Mby1M Methodology is based on case studies. In this course, Sramana Mitra shares the tribal knowledge of tech entrepreneurs by giving students the rare seat at the table with the entrepreneurs, investors and thought leaders who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana’s synthesis of key learnings and incisive analysis add great depth to each discussion.Artificial Intelligence is driving a transformative shift in the healthcare industry. From drug discovery to diagnostics, monitoring, and insurance, a new wave of HealthTech entrepreneurs is using AI to solve critical problems, optimize care delivery, and improve patient outcomes on a global scale.This course explores a curated series of case studies featuring entrepreneurs who have built innovative, AI-driven HealthTech startups. You will explore real-world startup journeys across pharmaceutical services, medical imaging diagnostics, remote patient monitoring, and AI-powered insurance models.Through in-depth interviews and analysis, you will uncover key strategies these founders used to navigate regulatory challenges, build capital-efficient operations, scale globally, and bring cutting-edge AI technologies to the highly complex healthcare ecosystem.You will also learn the nuances of launching AI startups in HealthTech, including the importance of domain expertise, the role of strategic partnerships, and the timing of funding decisions.This course offers rich insights and actionable lessons from HealthTech founders who are leveraging AI to shape the future of healthcare.Let’s get started and learn from the pioneers building the next generation of AI HealthTech startups!

Overview

Section 1: Introduction to HealthTech AI Startup Case Studies

Lecture 1 Introduction

Lecture 2 Artificial Intelligence Startups in Healthcare Technology

Section 2: AI Drug Discovery Startups

Lecture 3 AI Drug Discovery Startups

Lecture 4 VIDA CEO Susan Wood on Building an AI-Powered Pharmaceutical Services Business

Section 3: AI Diagnostic HealthTech Startups

Lecture 5 AI Diagnostic HealthTech Startups

Lecture 6 Qure.ai's Prashant Warier on Building an AI Venture for Medical Imaging Analysis

Section 4: AI Monitoring HealthTech Startups

Lecture 7 AI Monitoring HealthTech Startups

Lecture 8 VirtuSense Founder Deepak Gaddipati on Building a Healthcare AI Venture to $20M

Section 5: AI Health Insurance Startups

Lecture 9 AI Health Insurance Startups

Section 6: Case Study Based Methodology

Lecture 10 1Mby1M Methodology

Section 7: Additional Content

Lecture 11 Exploring AI Startups Further

Lecture 12 Practice Exercise

Lecture 13 Extra

Aspiring entrepreneurs, early-stage startup founders, and product managers interested in building AI solutions for healthcare.,AI enthusiasts, business strategists, and developers who want to learn how successful founders are using capital-efficient strategies to launch and scale AI-driven health technology startups.,Anyone with an interest in AI innovation and entrepreneurship.,Developing world entrepreneurs who want to increase their chances of getting investment for an AI health tech startup.