Lifeboat Foundation

Research indicates that long-term depression from young adulthood negatively impacts cognitive function by middle age, with greater effects seen in black adults, possibly explaining some disparities in dementia risk.

According to a study published in the June 12, 2024, issue of Neurology, the journal of the American Academy of Neurology, prolonged depressive symptoms beginning in young adulthood are associated with poorer thinking and memory skills by middle age. Additionally, the study noted that black adults are more likely to experience these depressive symptoms compared to white adults.

Racial disparities in depression and dementia risk.

Cell division is a crucial process for all life forms, from bacteria to blue whales, enabling growth, reproduction, and the continuation of species. Despite its universal nature, the methods of cell division vary significantly across organisms. A recent study by EMBL Heidelberg’s Dey group, along with their collaborators and published in Nature, investigates the evolution of cell division methods in organisms closely related to fungi and animals. For the first time, this research demonstrates the connection between an organism’s life cycle and its cell division techniques.

Despite last sharing a common ancestor over a billion years ago, animals and fungi are similar in many ways. Both belong to a broader group called ‘eukaryotes’ – organisms whose cells store their genetic material inside a closed compartment called the ‘nucleus’. The two differ, however, in how they carry out many physiological processes, including the most common type of cell division – mitosis.

Most animal cells undergo ‘open’ mitosis, in which the nuclear envelope – the two-layered membrane separating the nucleus from the rest of the cell – breaks down when cell division begins. However, most fungi use a different form of cell division – called ‘closed’ mitosis – in which the nuclear envelope remains intact throughout the division process. However, very little is known about why or how these two distinct modes of cell division evolved and what factors determine which mode would be predominantly followed by a particular species.

Machine learning revolutionizes distance measurement in astronomy, providing precise estimates for gamma-ray bursts and aiding in cosmic exploration.

The advent of artificial intelligence (AI) has been hailed by many as a societal game-changer, as it opens a universe of possibilities to improve nearly every aspect of our lives.

Astronomers are now using AI, quite literally, to measure the expansion of our universe.

Computer scientist Lance Fortnow writes that by embracing the computations that surround us, we can begin to understand and tame our seemingly random world.

Summary: A new study uncovered how epigenetic marks and the Cux2 protein influence brain folding. The study reveals that the epigenetic mark H3K27ac and Cux2 are key to forming the cerebral cortex’s gyri and sulci.

These findings enhance our understanding of brain development and could inform treatments for brain malformations. The research underscores the complexity of the nervous system and the pivotal role of epigenetics in brain structure.

Illinois Governor JB Pritzker signed an executive order to make cutting-edge gene and cell therapies more affordable and accessible. The order’s primary focus is on treatments for sickle cell disease, a condition that disproportionately affects Black Americans.

Addressing Cost Barriers to Innovation

The Illinois Department of Healthcare and Family Services (HFS) will spearhead efforts to develop new payment models for these transformative but expensive treatments. A newly formed Advisory Council will recommend creating sustainable financing structures, emphasizing models that reward positive health outcomes.

Eight reactions could connect ancient Earth to modern day. Here’s how.

Explore the transformative potential of CRISPR in medicine, agriculture, and beyond, and delve into the ethical debates surrounding this technology.

As machine learning models are becoming mainstream tools for molecular and materials research, there is an urgent need to improve the nature, quality, and accessibility of atomistic data. In turn, there are opportunities for a new generation of generally applicable datasets and distillable models.