#in-vitro-models

#in-vitro-models

Helical's thesis is that bio foundation models, AI systems trained on vast genomic, transcriptomic, and proteomic datasets, have already crossed a quality threshold that makes computational hypothesis-testing meaningful in pharma research.

GPT-Rosalind is designed to support evidence synthesis, hypothesis generation, experimental planning, and multi-step scientific workflows across biochemistry, genomics, and protein engineering.

While some other creatures, most notably salamanders and starfish, can regenerate entire limbs, mammals don't have this evolutionary superpower. The big question is: Why are mammals limited?

"We didn't know what we had," Michele Stansfield, co-founder and CEO of Cauldron Ferm, told TechCrunch. But eventually, Stansfield realized they had more than initially thought.

Chronic inflammation is a central driver of pathological fibrosis after ischaemic or haemodynamic stress, but strategies that locally rebalance injurious and reparative immune responses without systemic immunosuppression are lacking.

Now, researchers have created an artificial-intelligence system that vastly simplifies and accelerates the process of chemical synthesis. The system, which is called MOSAIC and is described in a study published in Nature on 19 January, recommended conditions that researchers were able to use to generate 35 compounds with the potential to become products like pharmaceuticals, agrochemicals or cosmetics without needing to do any further trawling or tweaking.

Scientists in the laboratory of Rendong Yang, PhD, associate professor of Urology, have developed a new large language model that can interpret transcriptomic data in cancer cell lines more accurately than conventional approaches, as detailed in a recent study published in Nature Communications. Long-read RNA sequencing technologies have transformed transcriptomics research by detecting complex RNA splicing and gene fusion events that have often been missed by conventional short-read RNA-sequencing methods.

Biology is undergoing a transformation. After centuries of studying life as it evolves naturally, researchers are now using a combination of computation and genome engineering to intervene, generating new proteins and even whole bacteria from scratch. The use of artificial-intelligence tools to design biological components, an approach known as generative biology, is set to turbocharge this area of research. Just last year, scientists used AI-assisted design to produce artificial genes that can be expressed in mammalian cells.

Martschenko's argument is largely that genetic research and data have almost always been used thus far as a justification to further entrench extant social inequalities. But we know the solutions to many of the injustices in our world-trying to lift people out of poverty, for example-and we certainly don't need more genetic research to implement them. Trejo's point is largely that more information is generally better than less.

Last November, the UK government announced a bold plan to phase out animal testing in some areas of research. Animal tests for skin irritation are scheduled for elimination this year, and some studies on dogs should be slashed by 2030. The long-term vision is 'a world where the use of animals in science is eliminated in all but exceptional circumstances'.

A 33-year-old man survived for 48 hours without his lungs, after a medical team replaced the organs with an external artificial-lung system that it developed to keep him alive until he could receive a double lung transplant. There have been cases in which people have had their lungs removed and been connected to an external device to maintain oxygen levels.