Gen AI & Deep Learning to Speed Up Clinical Evaluation

Nov 21, 2024 — 11:00 am CET - 11:10 AM CET
STARTUP STAGE

Presented by

Description

How can generative AI or Deep Learning help relieve DM manufacturers of daunting, non-value-added tasks in clinical DM evaluation? In recent years, AI has revolutionized our lives, but what about our industry? One of the challenges of our time is to capitalize on the gains made by AI to improve efficiency and make the healthcare industry more competitive. Among the main areas for improvement to be worked on with AI, there are those tasks that are tedious and have no added human value. These include systematic literature reviews, which can take weeks of work to sort, select and analyze. Together, let's see how AI can assist us in this task while keeping control with the human-in-the-loop approach.

Presented by

Bopha Suybeng

CEO & Founder

In partnership with

Suggested sessions

9:50 am CET - 10:00 am CET

Leveraging Data Science Community Power to Accelerate AI Adoption in Healthcare

In this session, we will explore how Trustii.io, a collaborative data science platform, is accelerating the adoption of AI in healthcare by connecting healthcare...

Prof. Antoine Roux

10:00 am CET - 10:10 am CET

Unlock Advanced Insights in ADLIN's Digital Research Environment with the Power of Generative AI

ADLIN Science is a pioneering French deeptech startup driving innovation at the intersection of life sciences, healthcare, and AI. Our mission is to empower...

Senior Data Scientist

Alexandra Bomane

Bioinformatician

10:10 am CET - 10:20 am CET

AI Models, Why Data Quality Matters

Health data quality is essential for the accuracy and reliability of AI models in healthcare, impacting patient safety and outcomes. Poor-quality data can lead to...

10:20 am CET - 10:30 am CET

Building a Generative AI Platform to Unlock the Power of Scientific Literature in Healthcare

In a world where scientific discoveries are rapidly multiplying, accessing and analyzing the immense amount of medical research becomes a real challenge. Opscidia uses...