Toggle light / dark theme

A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia University have created an artificial intelligence model that can predict which genes are expressed in any type of human cell. The model, called EpiBERT, was inspired by BERT, a deep learning model designed to understand and generate human-like language.

The work appears in Cell Genomics.

Every cell in the body has the same , so the difference between two types of cells is not the genes in the genome, but which genes are turned on, when, and how many. Approximately 20% of the genome codes for determine which genes are turned on, but very little is known about where those codes are in the genome, what their instructions look like, or how mutations affect function in a cell.

Shoeb Javed is chief product officer at iGrafx.

Navigating the intricacies of compliance and risk management can seem overwhelming for businesses, especially those operating in heavily regulated industries. The rules are complex and the stakes are high, and the old ways of managing compliance aren’t enough anymore. By using smart tools and clear processes, businesses can handle tasks more efficiently, reduce risks and make audits less stressful.

Many organizations face a daunting array of compliance requirements, both external and internal. Regulatory demands vary across industries such as financial services, healthcare, manufacturing, retail and technology. Businesses may also have to contend with regulations that differ by country and even by region.

Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD

Discount Links/Affiliates:
At-Home Metabolomics: https://www.iollo.com?ref=michael-lustgarten.
Use Code: CONQUERAGING At Checkout.

Blood testing (where I get the majority of my labs): https://www.ultalabtests.com/partners/michaellustgarten.

Clearly Filtered Water Filter: https://get.aspr.app/SHoPY

Summary: A new study challenges the belief that larger groups reduce cooperation, showing instead that flexible social connections enhance teamwork. Researchers found that in a prisoner’s dilemma game, participants in bigger groups cooperated more frequently, despite memory limitations.

Brain scans revealed that when memories of past interactions were unclear, participants relied on prosocial instincts to guide behavior. Key brain regions, including the prefrontal cortex and nucleus accumbens, helped balance memory, reward, and decision-making.

The default mode network (DMN) is implicated in cognition and behavior. Here, the authors show that the DMN is cytoarchitecturally heterogeneous, it contains regions receptive to input from the sensory cortex and a core relatively insulated from environmental input, and it uniquely balances its output across sensory hierarchies.

The study looked at the effect of cannabis use on young adults who are recent or heavy users

AURORA, Colo., Jan. 28, 2025 /PRNewswire/ — A new study published today in JAMA Network Open explores the effects of both recent and lifetime cannabis use on brain function during cognitive tasks.

The study, the largest of its kind ever to be completed, examined the effects of cannabis use on over 1,000 young adults aged 22 to 36 using brain imaging technology. The researchers found that 63% of heavy lifetime cannabis users exhibited reduced brain activity during a working memory task, while 68% of recent users also demonstrated a similar impact.