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Life-Science and AI Company Partnerships
GPT can expedite R&D
Fellow Healthcare Champions,
Curious about healthcare AI but no idea where to start? We get it. As busy clinicians ourselves, our newsletter "AI Grand Rounds" is here to provide clinically relevant AI info. Thanks for joining us on this journey!
Let’s join our journey to share clinically meaningful and relevant knowledge on healthcare AI
Sincerely,
Your two fellow physicians!
Table of Contents
🚨 Pulse of Innovation 🚨
Breaking news in the healthcare AI
Life-Science and AI Company Partnership continues to grow rapidly!
Moderna is the most recent player to develop a partnership with Open AI, and the relationship is showing its fruits rapidly as Moderna builds 750 GPTs across the company in months. This is a unique use compared to many other companies focusing on using AI for drug discovery.
Check out the list below. The names of companies are “hyperlinked” with details on what the partnership is exploring!
Life-Science Company | AI Company | Partnership |
---|---|---|
NVIDIA | Develop AI models for drug discovery using BioNeMo framework | |
Exscientia | Accelerate the discovery of small-molecule drug candidates | |
NVIDIA | Technologies can accelerate secure, real-time analysis of surgical data at the edge. | |
Open AI | ChatGPT Enterprise within its workforce, allowing individual teams to create novel use cases and GPTS to fit their teams' needs | |
Multiple AI firms | Establish an AI hub to enhance drug discovery and development processes | |
BioMap | Co-develop AI modules for biotherapeutic drug discovery |
🧑🏼🔬 Bench to Bedside👨🏽🔬
Developments in healthcare AI research and innovations
Deep learning model to predict occult Atrial Fibrillation
Researchers from two California academic health centers used Echocardiography data from over 100000 scans (35% with AFIB) and developed a deep learning that can distinguish between echocardiography features of a patient in AFIB and a patient in sinus rhythm, achieved and accuracy of 95%.
Moreover within the sinus rhythm patients, it can also distinguish between patients likely to have chance or occult AFIB and the ones that would remain in sinus rhythm (accuracy of 76%). The model performed better than just using clinical risk factors and performed even better when echo data was combined with ECG data.
👩⚕️AI in the Clinic 🏥
Real-world and practical use of healthcare AI in clinic
HCA Health implements AI-powered Emergency Department Documentation
The Augmedix Go is a fully automated emergency department documentation software that enables ED physicians to focus on their care delivery and patients and worry less about documentation.
The software uses proprietary large language model AI, listens to the conversation through the physician’s mobile device, and can convert the non-linear interactions into meaningful notes.
The HCA Health Trinity Hospital in Florida implemented this as a pilot project, and so far, the physicians have given it positive reviews. The hospital plans to implement it on a wider scale.
🩺 Start-Up Stethoscope 💵
Trending startups and technologies impacting clinical practice
Scopio Lab’s AI Bone Marrow analysis receives FDA approval
FDA Clearance: Scopio Labs has received FDA clearance for its first-ever digital bone marrow aspirate (BMA) application. This marks a significant advancement by introducing a new regulatory category for all-digital bone marrow analysis software.
Technology Advantages: The technology transforms bone marrow cytology by integrating high-resolution imaging with AI-driven decision support, enabling remote review and faster diagnosis. This helps reduce turnaround times and increases diagnostic accuracy and confidence.
As an Oncologist, I see a massive potential for this technology for consistency and speed. I have not seen the data used to train the AI model, as that could shed light on the issues of using this at a large scale.
🤖Patients First, AI Second🤖
Ethical and regulatory landscape of healthcare AI
Addressing rural community needs for more equitable healthcare AI
TruBridge a long time and important player addressing concerns of community healthcare centers has partnered with the newly formed TRAIN consortium to better address and understand the healthcare needs of the rural communities of United States.
The TruBridge’s CTO highlighted that 46 million Americans live in rural communities and may have unique healthcare needs and the technological advancements must not lag behind in addressing their healthcare needs. Hence, the partnership with TRAIN would be critical in addressing their concerns.
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