Artificial Inteligence Biotech Machine Learning 
N2Growth Blog
OCTOBER 23, 2023
Understanding the Unique Challenges in Recruiting for Biotech and Life Sciences The recruitment process in the biotech and life sciences industry comes with its own set of unique challenges. One of the primary obstacles is the need for more highly skilled and qualified talent.
TechCrunch
NOVEMBER 27, 2023
Biotech and AI startup Cradle is finding success with its generative approach to protein design, landing big customers and a hefty $24 million of new investment. The company exited stealth a little over a year ago, just as the hype around large language models was really heating up.
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.
Cloudera
OCTOBER 26, 2022
?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). The answer is a resounding no.
TechCrunch
DECEMBER 12, 2023
The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails deploying petri-dish-based microbiological monitoring, hardware and waiting for tests to return from labs.
TechCrunch
DECEMBER 16, 2022
6 investors discuss why AI is more than just a buzzword in biotech. In her latest investor survey, Anna Heim spoke to six biotech investors about where AI creates value, short-term market shifts, and how they’d like to be approached by founders: Robert Mittendorff, M.D, general partner and head of healthcare, B Capital.
TechCrunch
NOVEMBER 16, 2022
AI and proteins have been in the news lately, but largely because of the efforts of research outfits like DeepMind and Baker Lab. Their machine learning models take in easily collected RNA sequence data and predict the structure a protein will take — a step that used to take weeks and expensive special equipment.
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