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AI Drugs Only Years Away, Predicts Deepmind CEO
Plus: Health AI trends

AI Drugs Only Years Away, Predicts Deepmind CEO
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This Week’s Highlights
AI Drugs Only Years Away, Predicts Deepmind CEO
Guess what? The big boss of Google DeepMind, Demis Hassabis, thinks that in just a couple of years, we might see prescription drugs made by super-smart AI!
Yeah, you heard that right - robots cooking up meds for us! He's pretty confident about it, saying it could help with big diseases like heart problems and cancer.
But hold your horses, folks! Even if these fancy AI drugs make it to clinical trials, it might still take a while before we can actually use them.
You know, like waiting for your birthday when you just can't wait to open your presents!
But hey, despite the hiccups, it's still exciting to think about a future where robots help us stay healthy, right? Just gotta make sure they don't mix up our medicine with candy!
What does it mean for the health tech business?
Utilizing AI for Drug Discovery: AI accelerates the discovery process by analyzing vast data sets, expediting identification of potential drug candidates.
Efficient Medication Development: AI optimizes formulations, predicts side effects, and identifies patient populations for targeted treatments, reducing time and costs in clinical trials.
Personalized Treatment Options: AI analyzes genetics and biomarkers to tailor treatments, improving efficacy and reducing adverse reactions for individual patients.
Who’s trying to disrupt healthcare this week?
GlycanAge (glycanage.com): Unlock the secrets of aging with precise biological age assessment through glycans analysis.
Fabric (fabrichealth.com): Empowering healthcare providers with AI-driven insights for personalized patient care and treatment optimization.
Bioptimus (bioptimus.com): Revolutionizing biotechnology research with advanced analytics and machine learning algorithms.
Frontier Medicines (frontiermeds.com): Pioneering the discovery of novel therapeutics through innovative drug development platforms.
HealthSnap (healthsnap.io): Simplifying healthcare data management and analysis for enhanced patient outcomes and operational efficiency.
Four trends to watch in Healthtech AI in 2024
EHR integration & collaboration
Have you heard about the exciting new trend of "co-pilot" tools?
It's really starting to catch on, especially with big tech companies like Microsoft teaming up with Epic to make MyChart even better. The CEO of Epic, Judy Faulkner, has this amazing vision of an AI tool that can actually listen to conversations between doctors and patients and make everything run smoother.
Pretty cool, right? And here's why you should be interested: keep an eye out for all the industry folks who are super excited about the possibilities of Generative AI and the awesome partnerships that are on the horizon. It's going to be a game-changer!
Imaging as a litmus test
Radiology has always been at the forefront of medical technology advancements, and now it seems like there's even more exciting news on the horizon. We might soon see a wider acceptance of multi-modal models that combine text and images in the field.
And guess what?
These amazing "computer vision" technologies are even making their way into operating rooms, making documentation a breeze by automating the process and reducing the need for manual input. How cool is that?
Flexibility with data
The use of synthetic data has caused quite a stir, despite its usefulness in radiology. Some people argue that synthetic data can hide bias and lacks the randomness found in real-life samples. Because of this, many people dismiss AI-generated data as an inadequate replacement for the real deal.
However, it's important for established healthcare companies to adapt and stay relevant while still holding onto their core strengths. The healthcare industry is notoriously slow to change, and the use of generative AI is no exception.
Whether it's connected to actual clinical encounters or not, generative AI has the potential to greatly benefit patients and clinicians in ways we can't even imagine yet.
AI and the prior authorization rule for CMS
Centers for Medicare & Medicaid Services just dropped a seriously cool new rule (CMS 4201-F) that's set to take effect by 2026.
This rule is all about making insurers step up their game and speed up their decision-making process. Now, we understand that there might be a little bit of confusion surrounding this policy, but let's keep our fingers crossed and see if it leads to any positive changes down the line.
Regardless of where you stand on the issue, the Prior Authorization rule really hammers home the importance of having a fair and transparent way to determine medical necessity. How awesome is that?
Why does it matter?
Artificial Intelligence (AI) can totally help out in these areas! So, let's keep an eye out for more exciting developments in the future!
Quick hit
Unlocking the Secrets of AI in Healthcare: What You Need to Know!
Discover How AI Saves Lives: Netsmart's Cutting-Edge Technology Revealed!
Revolutionizing Eye Care: GPT-4 Goes Head-to-Head with Ophthalmologists!
Resources
🔎 Browse companies in our Wellness / Mental Health company Database!
💰 Raising money? Check out our database of Wellness Funds, Investors and Business Angels in the space.