#biological-applications

#biological-applications

Small organic molecules underpin modern life, from medicines and flavours to advanced materials. Much of this functional diversity comes from shape: modest changes in a molecule's 3D structure can completely change its properties.

Incyte tops this list due to its rare combination of commercial scale, cash generation, and pipeline depth. The company posted FY2025 revenue of $5.14 billion, up 21.2% YoY, anchored by Jakafi generating $828.2 million in Q4 2025 alone (+7% YoY) and Opzelura delivering $207.3 million (+28% YoY). With $3.58 billion in cash and 14 pivotal clinical trials underway, Incyte offers an acquirer immediate revenue, margin expansion potential, and a deep oncology pipeline spanning KRASG12D, CDK2 inhibition, and mutCALR.

Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.

Using CRISPR-Cas9 and adeno-associated virus (AAV)-mediated homology-directed repair, we targeted CAR integration into the endogenous human TCR alpha locus (TRAC). TRAC-CAR T cells display dynamic CAR expression that delays exhaustion and improves tumour control in xenograft and immunocompetent models. This work has been critical for the development of allogeneic CAR T cell therapy, as it disrupts the TCR after transgene insertion—a necessary step to limit graft-versus-host disease.

"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.

Ushering in the Golden Age of Innovation is about more than just winning the global tech race - it's about securing the safety and prosperity of our country for generations to come. Our bill is an important step in this effort and will better ensure the United States has the infrastructure in place to lead the 21st century.

His message is clear: our world is built on abundant energy, around 80% of which has come from fossil fuels over the past 50 years. Because supplies are limited, energy consumption will peak in decades - sooner if humans attempt to limit climate change. To keep global warming below 1.5 °C by 2100, the use of fossil fuels must fall by 5-8% each year - a pace that is too fast for low-carbon energy to keep up with.

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.

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.

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'.

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.

A virus that sickens marine mammals has been detected in Arctic waters for the first time. Scientists used drones armed with petri dishes to collect samples of blow - the air and mucus whales expel from their blowholes - from whales in northern Norway. The team identified cetacean morbillivirus in samples from humpback whales ( Megaptera novaeangliae) and one sperm whale ( Physeter macrocephalus), though the humpbacks showed no symptoms of disease.

Laboratories turned to a smart workaround when COVID‑19 testing kits became scarce in 2020. They mixed samples from several patients and ran a single test. If the test came back negative, everyone in it was cleared at once. If it was positive, follow-up tests would zero in on who was infected. That strategy, known as group testing, saved valuable time, money, and resources.

Generalist models "fail miserably" at the benchmarks used to measure how AI performs scientific tasks, Alex Zhavoronkov, Insilico's founder and CEO, told Fortune. " You test it five times at the same task, and you can see that it's so far from state of the art...It's basically worse than random. It's complete garbage." Far better are specialist AI models that are trained directly on chemistry or biology data.