News

A Canadian study found that cannabis exposure influences human egg quality. While THC was linked to higher egg maturation, it also disrupted chromosome separation, leading to fewer healthy embryos in IVF patients.

Cancer accounts for one in five deaths worldwide, yet many countries lack resources to fund essential research. Despite rising cancer rates, lower-income nations remain critically underfunded, warn researchers at the University of Southampton.

Scientists have developed new wearable microneedles that are inspired by bee stings. These electrospun web microneedles deliver drugs continuously through the skin without causing discomfort.

Inspired by the movement of the human gastrointestinal tract, researchers have developed a wireless device to deliver drugs into deep brain regions. The device could be used to treat brain diseases such as epilepsy and Parkinson's disease.

Researchers at WashU Medicine found a link between an unstable, fluctuating gut microbiome and poor growth in children in a study that sequenced the genomic material from fecal samples collected over nearly a year from eight toddlers in Malawi.

According to a new study, living in areas with high concentration of air pollution is associated with an increased buildup of amyloid and tau proteins in the brains of Alzheimer’s patients, accelerating cognitive decline.

Researchers have identified novel molecular mechanisms that help specialized T cells maintain long-term immunity in response to chronic infection and cancer.

A study suggests that the rapid evolution of certain human brain cells may help explain why autism is more common in our species than in other primates. The research found that genes linked to autism were strongly shaped by natural selection.

By removing a single gene, scientists gave donor CAR-T cells a kind of protective coating, like armor. This coating helps the cells hide from the patient’s immune system, avoid being destroyed and survive longer.

Researchers have developed a new framework for predicting end stage renal disease outcomes, using machine learning and deep learning models, as well as explainable artificial intelligence (AI).