News


Nobel Prize trifecta goes to gene tech in 2024

The Royal Swedish Academy of Sciences

Physics - Hopfield and Hinton for neural networks that enable computational protein design tools such as AlphaFold

Chemistry - Baker for computational protein design methods and Hassabis and Jumper for AlphaFold itself

Medicine - Ambros and Ruvkun for discovering microRNA gene regulation



Biotech Behemoths in Review

Pear VC

"the average time to an initial exit for the [tech] titans (8.2 +/-2.1 years) was considerably longer than that for the [biotech] behemoths ( ~4.7 +/- 2.7 years)."



AlphaFold 3, CRISPR Eyes, Ear Genes...

Not Boring

"We are living in an age of miracles."



Democratize Omics Data Analysis with Basepair on AWS HealthOmics

Amazon

Amazon Web Services' focus on genomics (and proteomics, transcriptomics, etc.) is evidence that the industry is digital and big.



The Taxa Technologies Story (personal hygiene)

SynBioBeta

"[I]t’s so delightful that Taxa Technologies will be using synthetic biology to get their consumers closer to nature, not further. In other words, they’ll be leveraging synthetic biology to deliver products that are actually less synthetic"



The U.S. Bioeconomy: Charting a Course for a Resilient and Competitive Future

Schmidt Futures

"Schmidt Futures, a philanthropic initiative of Eric and Wendy Schmidt, convened a Task Force to chart a course for achieving the promise of platform technologies such as engineering biology and artificial intelligence to contribute to what has recently been projected to become a future bioeconomy worth somewhere between $4 trillion and $30 trillion dollars globally, according to the most recent projections."



Safeguarding the Bioeconomy

National Academies of Sciences, Engineering, and MedicineFree e-book

"Moving forward, the life sciences communities will likely continue to experience change in the form of growing transdisciplinary and team-based science; an increasing shift toward applying engineering approaches to biology; a global environment for science that is driven by sharing, accessing, and analyzing large amounts of data; and changing stakeholders, workforce, and supply chains."