🚨 Pulse of Innovation 🚨

Breaking news in the healthcare AI

AlphaFold 3 predicts the structure and interactions of all of life’s molecules.

• Accuracy of Predictions: AlphaFold 3 can predict the shape and arrangement of proteins and other molecules. For example, it gets the shapes of protein-ligand pairs right about 90% of the time, which is better than older methods.

• Wide Range of Uses: The model can handle different types of molecules, making it suitable for studying complex biological systems like how proteins interact with DNA or drugs. FREE to use for academic purposes: https://golgi.sandbox.google.com/about

  

• Isomorphic Labs is leveraging AlphaFold 3 and their AI technologies for drug design, focusing on new and existing disease targets. This integration aims to enhance drug development's efficiency and success rate by providing deep insights into molecular interactions, thus enabling the exploration of previously challenging targets.

• Challenges: The model makes mistakes, like getting the mirror-image shape of molecules wrong about 4.4% of the time. The model shows molecules as if frozen and doesn't predict how they move or change shape, which is important for understanding how biological processes work in the body.

🧑🏼‍🔬 Bench to Bedside👨🏽‍🔬

Developments in healthcare AI research and innovations

Which Large Language Model (LLM) is better for Clinical Oncology

• Publicly available LLMs (LLaMA 1, PaLM 2, Claude-v1, generative pre-trained transformer 3.5 [GPT-3.5], and GPT-4) were tested on 2044 oncology questions, including topics from medical, surgical, and radiation oncology, medical statistics, medical physics, and cancer biology.

• Significant heterogenicity was observed in the 5 LLMs’ overall and subtopic performance, with only GPT-4 performing above the 50th percentile relative to the human benchmark.

👩‍⚕️AI in the Clinic 🏥

Real-world and practical use of healthcare AI in clinic

Anima Res - 3D medical animation for education with apple vision pro!

• ANIMA RES specializes in 3D medical animations and interactive Augmented, Mixed, and Virtual Reality applications, with a particular focus on the pharmaceutical, medical, and biotechnological sectors. 

• This is an excellent tool for enhancing medical education for Medical students and physicians and helping patients understand complex medical procedures. The video below is worth a watch!

🩺 Start-Up Stethoscope 💵 

Trending startups and technologies impacting clinical practice

AI-powered healthcare payment solution Sift Healthcare

• Healthcare reimbursement and payment are often complicated, and Sift Healthcare is providing AI-powered and deep-learning solutions to streamline this process and workflow. It provides the clinical and payment data on the same workflow platform to minimize adverse payments and increase the cash flow.

• The company recently raised $20 million in series B funding, led by several venture capital funds. It has the advantage of being the first to market AI-powered healthcare payment solutions.

🤖Patients First, AI Second🤖

Ethical and regulatory landscape of healthcare AI

New Bipartisan AI Policy Proposals in the US Senate

US Senators introduced two new proposals for AI policy last week. One would establish a mandatory licensing system for frontier AI developers, while the other would encourage the development of AI evaluations and the adoption of voluntary safety standards.

1. Mandatory licensing of frontier AI developers focused on catastrophic risks.

2. Establishing processes to track AI vulnerabilities, incidents, and supply chain risks - Secure Artificial Intelligence Act of 2024

3. Establishing NIST AI Safety Institute to develop AI evaluations and voluntary safety standards - Future of AI Innovation Act