#genetic-technologies

#genetic-technologies

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.

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.

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.

It was another detail that the rest of the family apparently knew but had never told me; they thought I already knew. The biology mattered less to me than the secret. Dad had been adopted, it turned out. A classic affliction of the 1950s, in which young, unmarried couples were forced to give away their newborn babies.

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.

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.