Application of machine learning in drug side effect prediction: databases, methods and challenges
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- Category: Research
Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients' physical and mental well-being. Traditional artificial drug experimentation methods are not only expensive but also time-consuming, rendering comprehensive testing a challenging task.
DeepSeek-R1 offers promising potential to accelerate healthcare transformation
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- Category: Research
A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm - Future Medicine. The article comprehensively evaluates DeepSeek-R1, a Chinese-developed open-source large language model (LLM), and its potential to transform the healthcare landscape.
Researchers identify drug candidate for difficult-to-treat heart disease
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- Category: Research
A study led by a physician-scientist at the University of Arizona College of Medicine - Tucson's Sarver Heart Center identified a drug candidate that appears to reverse the progression of a type of heart failure in mouse models, which could lead to expanded treatment options for humans. The results were published in the journal Cell Metabolism.
Potential new treatment for Alzheimer's disease, other neurodegenerative conditions
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- Category: Research
Worldwide, more than 55 million people suffer from dementia caused by Alzheimer's Disease (AD) and other conditions that destroy cells in the brain and nervous system.
While there is no treatment to control or manage these neurodegenerative conditions, investigators at Case Western Reserve University, University Hospitals and the Louis Stokes Cleveland VA Medical Center have identified a new and promising drug to treat AD.
Common antidepressants could help the immune system fight cancer
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A widely used antidepressant drug could help the immune system fight cancer, according to a new UCLA research study.
Selective serotonin reuptake inhibitors, or SSRIs, significantly enhanced the ability of T cells to fight cancer and suppressed tumor growth across a range of cancer types in both mouse and human tumor models, the study, published in Cell, found.
Candidate drug that boosts protective brain protein in mice has potential to treat Alzheimer's disease
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As researchers work to improve treatment of Alzheimer's disease, new research by UCLA Health identified a candidate drug that reduces levels of a toxic form of a protein in the brain caused by the disease and improved memory in mice by boosting production of a protective protein.
In a study published in the Nature journal npj Drug Discovery, UCLA Health researchers targeted the protein clusterin (CLU), which is crucial in preventing the build-up of amyloid-beta plaques and
Diabetes drug gives hope for new treatment for prostate cancer
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- Category: Research
A drug used to treat type 2 diabetes may also be effective in slowing the progression of prostate cancer. This is shown by an international study in which researchers at Umeå University, Sweden, have participated. The researchers have found that drugs that regulate a particular protein have a key role in reducing prostate cancer recurrence among diabetic patients.
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- Drug to slow Alzheimer's well tolerated outside of clinical trial setting
- HER3 re-emerges as a pivotal target in the fight against cancer
- Mitochondrial DNA editing: A breakthrough in tackling neurodegenerative diseases
- Diabetes drug as a possible treatment for prostate cancer