A new PCSK9 inhibitor (recaticimab) injected every one to three months may work safely and provide more flexible dosing to lower cholesterol, according to late-breaking science presented today at the American Heart Association’s Scientific Sessions 2023. The meeting, held Nov. 11–13, in Philadelphia, is a premier global exchange of the latest scientific advancements, research and evidence-based clinical practice updates in cardiovascular science.
A single infusion of a gene-editing medicine may control inherited high LDL cholesterol
A single infusion of a CRISPR-based gene-editing therapy significantly reduced low-density lipoprotein cholesterol (LDL, the “bad cholesterol”) in people who carry one gene for the inherited condition that results in very high LDL cholesterol levels and a high risk of heart attack at an early age, according to late-breaking science presented today at the American Heart Association’s Scientific Sessions 2023. The meeting, held Nov. 11–13, in Philadelphia, is a premier global exchange of the latest scientific advancements, research and evidence-based clinical practice updates in cardiovascular science.
Zambia pilots Japanese ‘bokashi’ manure for environmental sustainability
By NATION REPORTER
GOVERNMENT has started teaching farmers on the use of Bokashi organic manure practiced in Japan as an alternative to chemical fertilisers to promote smart Agriculture in response to environmental sustainability.
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Worried about getting a blood test? Five tips to make them easier (and still accurate)
Blood tests are a common medical procedure, offering valuable insights into a person’s health. Whether you’re getting a routine check-up, diagnosing a medical condition or monitoring treatment progress, understanding the process can make the experience more comfortable and effective.
Researchers explore origins of lupus, find reason for condition’s prevalence among women
For years, researchers and clinicians have known that lupus, an autoimmune condition, occurs in women at a rate nine times higher than in men. Some of the factors that cause the disease’s high prevalence in women have eluded discovery, but in a new study investigating the immune system processes in lupus and the X chromosome, Johns Hopkins Medicine researchers have uncovered answers about the disease’s frequency in females.
Artificial intelligence may speed heart attack diagnosis and treatment
Technology incorporating artificial intelligence (AI) and electrocardiogram (EKG) testing for patients having a heart attack decreased the time to diagnose and send patients for treatment by almost 10 minutes, according to results of a late-breaking science study conducted in a hospital in Taiwan and presented today at the American Heart Association’s Scientific Sessions 2023.
New assay could revolutionize detection and treatment of acute myeloid leukemia
A novel assay that detects a unique molecular marker in patients with acute myeloid leukemia (AML) may revolutionize the way this disease is detected and treated according to a new report in The Journal of Molecular Diagnostics. This assay may improve the detection of AML driven by KMT2A gene fusions and may affect treatment decision-making, assessing response to therapy, and long-term surveillance.
AI faces look more real than actual human face: Study
White faces generated by artificial intelligence (AI) now appear more real than human faces, according to new research led by experts at The Australian National University (ANU).
Perceived racism leads to greater risk of stroke among Black women
Black U.S. individuals are especially vulnerable to stroke, with a two-to-threefold higher stroke incidence and 1.2 times higher stroke mortality than white U.S. individuals. Black women in particular, experience stroke and stroke-related mortality at higher rates and earlier onset than women in any other racial group.
Ovarian cancer: Artificial intelligence predicts therapy responses
A model based on artificial intelligence is able to predict the therapy outcome (measured by volumetric reduction of tumor lesions) in 80% of ovarian cancer patients. The AI-based model has an accuracy of 80%, significantly better than current clinical methods.