All articles tagged with #precision medicine
Originally Published 13 days ago — by MyJoyOnline
Ghanaian scientist Moses Mayonu is pioneering metabolomics research at Florida Tech, integrating advanced techniques and AI to improve disease diagnosis and personalized medicine, while also contributing to Africa's scientific development and capacity building.
Originally Published 19 days ago — by WIRED
By 2026, advances in AI and aging science will enable precision medical forecasting, allowing for early prediction and prevention of major age-related diseases like cancer, cardiovascular, and neurodegenerative conditions through comprehensive data analysis and personalized interventions.
Originally Published 3 months ago — by ScienceDaily
A Swedish-led clinical trial found that low-dose aspirin significantly reduces the risk of colon and rectal cancer recurrence in patients with a specific genetic mutation, highlighting its potential as an affordable, personalized treatment option for colorectal cancer.
Originally Published 3 months ago — by MIT News
Researchers at MIT and McMaster University used AI, specifically DiffDock, to develop and understand a targeted antibiotic, enterololin, that treats gut bacteria linked to Crohn's disease with minimal impact on the microbiome, potentially revolutionizing treatment and reducing antimicrobial resistance.
Originally Published 3 months ago — by The Washington Post
The article discusses the potential of precision medicine and immunotherapies to revolutionize cancer treatment, highlighting upcoming discussions and innovations such as antibody-drug conjugates, featuring experts from Pfizer and Yale Cancer Center.
Originally Published 5 months ago — by Earth.com
A major study by Princeton and the Simons Foundation identified four distinct biological and clinical subtypes of autism using data from over 5,000 children, revealing different genetic profiles and developmental timelines for each, which could lead to more targeted diagnosis and treatment approaches.
Originally Published 5 months ago — by ScienceDaily
Researchers used CRISPR to study the gene SDR42E1, crucial for vitamin D metabolism, finding that inhibiting it can selectively kill cancer cells and potentially lead to new cancer treatments, while also suggesting broader applications in diseases influenced by vitamin D. However, long-term effects need further investigation.
Originally Published 7 months ago — by Live Science
A large U.S. study shows that people's self-identified racial and ethnic categories do not accurately reflect their genetic ancestries, highlighting the complexity of genetic diversity and the limitations of using race and ethnicity as proxies in genetic research and personalized medicine.
Originally Published 1 year ago — by CNN
A new study has identified six subtypes of major depression using brain imaging and machine learning, potentially paving the way for more precise and effective treatments. The research, published in Nature Medicine, tested how three of these biotypes responded to different antidepressants and therapies. This approach could significantly improve treatment outcomes by matching patients with the most suitable therapies from the start, reducing the trial-and-error process currently prevalent in depression treatment. However, further studies with more diverse samples and additional treatments are needed to validate these findings.
Originally Published 1 year ago — by National Institutes of Health (NIH) (.gov)
NIH researchers have developed a five-drug combination therapy, ViPOR, that achieves lasting remissions in patients with aggressive B-cell lymphoma resistant to standard treatments. In a clinical trial, ViPOR led to complete tumor disappearance in 38% of patients and showed significant survival benefits, particularly in specific subtypes of diffuse large B-cell lymphoma (DLBCL). The treatment's side effects were generally mild to moderate, and further studies are planned to confirm its efficacy and explore its use in other lymphoma types.
Originally Published 1 year ago — by Business Insider
Devlin Donaldson, a CEO diagnosed with type 2 diabetes, reversed his condition and lost significant weight using a digital twin technology from Twin Health. The digital twin provided personalized health insights and real-time feedback on diet, exercise, and medication, leading to his diabetes remission and improved overall health. This precision medicine approach, which includes continuous glucose monitoring and other health tracking tools, is gaining traction for its effectiveness in managing chronic conditions.
Originally Published 1 year ago — by National Institutes of Health (NIH) (.gov)
Researchers at the National Institutes of Health (NIH) have developed an AI tool that uses single-cell RNA sequencing data to predict whether a person’s cancer will respond to a specific drug, potentially leading to more precise matching of cancer patients with effective drugs. The tool, called Personalized Single-Cell Expression-based Planning for Treatments In Oncology (PERCEPTION), was able to accurately predict drug responses at the individual cell level and identify resistance to certain drugs in cancer patients. The researchers believe that this approach could lead to more lasting drug responses, but caution that its accuracy will improve as single-cell RNA sequencing data become more widely available.
Originally Published 1 year ago — by The Conversation
Cancer remains a leading cause of death, with increasing diagnoses among younger patients. Standard cancer treatments often prove ineffective, leading to uncertain outcomes. Functional precision medicine, which involves testing drugs on tumor samples to identify the most effective treatments, has shown promising results in improving outcomes for cancer patients, particularly in children. This approach, combined with DNA analysis and artificial intelligence, holds potential for providing personalized cancer treatments and is being further studied in clinical trials to help more patients access tailored therapies.
Originally Published 1 year ago — by Multiple Sclerosis News Today
Researchers have identified three distinct immune signatures in the blood of people with early multiple sclerosis (MS) that are linked to specific disease trajectories and response to treatment, potentially paving the way for personalized care. By understanding individual immune system variations among patients, personalized treatment plans that are more effective and have fewer side effects could be developed. Checking a patient’s blood for a specific immune signature before starting treatment could help personalize care and improve clinical outcomes for individuals living with MS.
Originally Published 1 year ago — by Medical Xpress
A Canadian-led study using whole-genome sequencing has identified genetic variants associated with cerebral palsy (CP) in children, shedding light on the condition's genetic contributors. The research found that over 10% of children with CP had a genetic variant linked to their condition, with many variants overlapping with other neurodevelopmental conditions. The data, now available for research, aims to improve understanding of CP's genetic and environmental risk factors, potentially leading to individualized treatment approaches.