3D Biotech Machine Learning 
Crunchbase News
SEPTEMBER 13, 2024
Biotech and AI had another strong week, as the sectors saw two big nine-figure rounds each — including one for $370 million in biotech. Candid Therapeutics , $370M, biotech: Every week there’s a big biotech raise — and this week there’s one that’s really big. Check out last week’s biggest funding rounds here.
TechCrunch
DECEMBER 2, 2020
Sifting through the trillions of molecules out there that might have powerful medicinal effects is a daunting task, but the solution biotech has found is to work smarter, not harder. Machine learning has, of course, accelerated work in many fields, biochemistry among them, but he felt that the potential of the technology had not been tapped.
TechCrunch
OCTOBER 5, 2021
Andiamo uses machine learning, 3D simulation and 3D printing to create custome braces for children with cerebral palsy, bringing down the cost and improving outcomes for clinicians, patients and families alike. So without any further ado, here are the startups graduating out of the summer 2021 ERA class. departments.
TechCrunch
JUNE 10, 2022
The world of AI-powered drug discovery keeps expanding as the capabilities of machine learning grow. “This is done most easily when one knows how exactly these drugs bind to the protein (the exact 3D shape of the ligand bound to the disease-causing protein). All it takes is one hit and they’re laughing.
TechCrunch
JANUARY 25, 2023
The biotech industry is experiencing a rush of AI-powered tools for many aspects of the complex drug discovery process. A rotating 3D model of an RNA strand structure predicted by PARSE. And combined with other machine learning work, we have been able to dramatically improve both the speed and accuracy from the paper.”
TechCrunch
DECEMBER 15, 2021
Prellis Biologics , a company developing the tools to create 3D-printed organs, announced a $14.5 Up until this point, Prellis has focused on 3D printing vascular scaffolds that would allow companies to grow healthy and oxygenated human organs (or miniature versions, called organoids) for drug testing, and eventually transplant.
Altexsoft
AUGUST 27, 2022
So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.
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