Articles tagged with Personalized Medicine
The John Shufeldt School of Medicine and Medical Engineering will train students to blend multiple disciplines for innovative healthcare leadership. Graduates will receive dual degrees and leverage new tools like AI and data science to connect with patients and develop innovative practices.
Lehigh University researchers used machine learning to compare bone marrow extracted from the hip and shoulder, finding six proteins that distinguish between the two extraction sites. This study may lead to standardized BMAC extraction protocols and personalized treatments based on protein concentrations.
Researchers found a targeted immunotherapy regimen yielded promising survival outcomes for patients with B-cell ALL, outperforming historical results. The treatment was well-tolerated, with more than half completing the full course of therapy, and responded similarly in patients with complex medical histories.
The US needs a new strategy for insurance coverage and access to cell and gene therapies due to high up-front costs. In contrast, Europe has approved 19 CGTs with most being reimbursed within two years of approval based on demonstrated added therapeutic value.
Researchers at the University of Pittsburgh and UPMC developed a new treatment for patients with drug-resistant epilepsy. The approach uses deep brain stimulation (DBS) targeted to each patient's unique brain wiring, resulting in a significant reduction in seizures, with some patients becoming seizure-free for months.
Scientists found a promising candidate, pleiotrophin, which is essential for brain development and function; restoring it may improve brain circuits in individuals with Down syndrome and other neurological diseases. The study's findings suggest using modified viruses to deliver the protein directly into cells could lead to new treatments.
Researchers developed an ultra-sensitive hydrogel for human-machine interaction, achieving high-accuracy collaboration in remote surgical operations and virtual reality. The AirCell Hydrogel boasts a smooth surface and porous interior structure, allowing it to detect various human motions with exceptional accuracy.
A landmark study analyzed health data from over 600,000 patients across 10 countries to assess patient risk for non-ST-elevation acute coronary syndrome (NSTE-ACS). The AI-powered model GRACE 3.0 predicts risk more accurately and guides personalized treatment decisions.
Researchers developed TAMENDOX to supplement (Z)-endoxifen in patients with CYP2D6 enzyme deficiency, improving drug concentration and effectiveness. The new therapy was well-tolerated, showing promise as an alternative to aromatase inhibitors for premenopausal women.
A recent study published in Leukemia found that age-based classifications in acute myeloid leukemia (AML) treatment may be outdated. The research analyzed data from 2,823 adult AML patients, revealing nuanced age-related trends in genetic mutations and survival outcomes.
A new RNA-based therapy targeting Marfan syndrome shows promise in treating the genetic disorder, which can lead to aortic aneurysms and be fatal. The therapy, developed by Mizzou researcher Dunpeng Cai, aims to correct mutated RNA for those with Marfan syndrome.
The new centre supports multiple clinical trials in parallel, enabling comprehensive evaluations of organ health across physiological systems. It also provides hands-on training opportunities for healthcare professionals, bridging the gap between theoretical knowledge and practical application.
The University of Surrey is part of a global research project to create an 'Immune Digital Twin', a virtual model of the human immune system. This could help scientists tackle autoimmune disorders and infectious diseases by simulating how different drugs or treatments work for individual patients.
The Association for Molecular Pathology has created a standardized biomarker report template to simplify complex molecular profiling data presentation to oncologists and healthcare providers. The template includes guidelines for clear formatting, therapeutic guidance, and references to clinical practice guidelines.
Researchers use AI, omics, and systems biology to design targeted drugs for cardiovascular disease pathways. The tools could transform heart drug development and save lives, but global health policy leadership is urgently needed.
A new review in Frontiers in Science calls for a fundamental shift in how heart drugs are discovered and tested using AI, omics, and big data. This approach could drive the development of personalized treatments for cardiovascular disease, which currently relies on broad-brush treatments that don't account for individual variability.
A new analysis found that virtual reality effectively reduced anxiety during coronary angiography and had more stable vital signs than standard care. VR was superior to standard care in reducing anxiety and associated with significantly lower changes in heart rate and blood pressure.
Researchers designed and lab-validated synthetic proteins using generative AI tools, outperforming natural proteins in editing the human genome. The study's findings have significant implications for improving gene editing tools and developing new therapies for cancer and rare diseases.
Colin Hill joins C-Path's Board of Directors with experience in AI, drug development, and translational acceleration. He aims to bring precision medicine focus to advance treatments worldwide.
A groundbreaking study aims to improve genetic services for adolescent and young adult (AYA) cancer survivors by integrating digital tools and chatbot technology. Participants will receive tailored communication, digital education tools, and genetic testing, with the goal of increasing uptake of genetic counseling and testing.
Liberate AI project develops an AI model capable of predicting long-term outcomes and potential complications in ischemic stroke patients. The model will be trained using Swarm Learning technology, aiming for explainability and transparency, while striking a balance between these features and accuracy.
A randomized clinical trial found that parents who received remote motivational counseling and mobile-based support improved their use of appropriate child car seats. The intervention included tailored web content, periodic text messages, and personalized feedback.
A portable device using machine learning can detect signs of concussions in real-time, providing a more objective way to assess injuries. The Mizzou Point-of-Care Assessment System combines a force plate, depth camera and interface board to track movement, balance and reaction times.
New research shows that music therapy significantly decreases heart rate, systolic blood pressure, and patient-ventilator asynchronies for patients admitted to the cardiac intensive care unit (ICU). Music therapy is a safe, low-cost, non-pharmacological intervention that complements conventional treatments.
A recent study from Spain aims to develop inclusive medical AI applications by overcoming binary logics and including the needs of trans people. The research team, led by Nataly Buslon Valdez, collaborated with PRISMA association to design AI apps that promote personalized treatments tailored to individual needs.
A deep learning model achieved up to 98% accuracy in distinguishing autistic from neurotypical participants, providing clear insights into brain regions most influential to its decisions. The model could benefit autistic people and clinicians by offering accurate and explainable results to inform assessment and support.
A UCLA research team led by Dr. Donald Kohn has developed a one-time stem cell gene therapy treatment for alpha thalassemia major that could be curative. The therapy involves adding the missing alpha-globin gene to patient cells using a viral vector, enabling them to produce functional hemoglobin.
A new study shows that remote perioperative monitoring significantly improves recovery for cancer surgery patients, with a 6% greater functional recovery rate by day 14 after surgery. The study also found fewer major complications and improved symptom management.
Mayo Clinic researchers developed a genetic test that can predict how people will respond to weight loss medications. The test estimates an individual's calories to satiation, linking it to treatment success and providing personalized estimates of expected satiation threshold.
A new biotechnical vector, VIBV, combines viral mimicry with synthetic nanotechnology to deliver targeted RNA therapies for cancer treatment. The vector uses a spindle-shaped nanostructure and polyethylene glycolylated liposomal coat to evade immunity and extend circulation.
The American Society for Radiation Oncology, American Society of Clinical Oncology, and Society of Surgical Oncology jointly published a guideline outlining when post-mastectomy radiation therapy (PMRT) is appropriate based on new evidence. PMRT reduces cancer recurrence risk in patients with node-positive disease or high-risk features.
A new white paper from the USC Schaeffer Center recommends FDA reforms to streamline clinical trials, provide clearer guidance on newer technologies, and improve agency efficiency. This could reduce development time and costs, pushing down prices and improving patient access.
Dr Oliver Pain develops GenoPred platform advancing personalized mental healthcare worldwide through accessible genetic tools, democratizing access to cutting-edge genomic methodologies. His work aims to reduce global health inequities by developing inclusive polygenic scoring methods that perform accurately across all ancestry groups.
The Longevity Education Hub has launched a new chapter in Brazil, offering a free accredited course in Healthy Longevity Medicine. The course, developed by Dr. Fabiano Serfaty and Fernanda Calvo-Fortes, aims to equip physicians with the latest tools and knowledge to close the gap between lifespan and healthspan.
The ASTRO's 2025 Annual Meeting will feature pivotal studies in radiation medicine, highlighting advances in radiopharmaceutical therapy and new indications for low-dose radiation therapy. The meeting will also explore cutting-edge techniques for prostate, breast, lung, and other common cancers.
A global study surveyed 14,000 patients across 43 countries, finding that those in poorer health were more likely to reject AI. Patients preferred explainable AI and wanted clinicians to make final decisions.
Researchers have identified a new therapeutic target, ABHD18, which can restore mitochondrial health and improve heart function in preclinical models of Barth syndrome. By blocking this gene, the body can bypass the problem caused by the faulty TAFAZZIN gene, offering a potential path to targeted therapies.
A UMD-led research team is working to improve the sharing of patients' outside health records with clinicians, aiming to reduce healthcare costs and duplicative paperwork. The study will examine how doctors make clinical decisions with outside data and its impact on patient health.
A study by BSC-CNS analyzed molecular data from over 4,000 patients and 45 diseases using a newly developed computational method. The results show that 64% of medically known connections are related by similarities in gene expression, providing clues about the biological mechanisms linking them.
A new online calculator helps doctors determine the most effective treatment plan for each patient based on their blood pressure needs. By categorizing treatments as low, moderate, or high intensity, the tool enables personalized treatment plans and potentially improves patient outcomes.
Researchers designed an ideal primary care visit scenario that emphasizes patient-centered communication, respect, and inclusivity. A survey of 250 adults with obesity found that most preferred this approach, citing doctors who listen attentively and treat weight issues sensitively.
Researchers envision AI-powered systems that identify patients at risk of mental health struggles, provide continuous psychological monitoring and tailor interventions. AI can also overcome barriers to mental health care by delivering support exactly where and when it's needed, including rural areas.
A new cross-national study finds that older adults with disabilities are less likely to receive preventive care, but higher government health spending closes the gap. Investing in public healthcare promotes equitable access to preventive services, particularly among vulnerable populations.
A recent study by researchers at the University of Missouri has made a groundbreaking discovery using patient's own cartilage cells to aid in healing after hip surgery. The research team successfully cultured and expanded cartilage cells, or chondrocytes, in the lab, paving the way for future clinical applications.
A new article by Dr. Leonard Berry of Texas A&M University argues that values-driven listening can improve care and heal the healthcare system. The authors identify six types of listening, including proximate, curious, earning trust, aided by design, empowering, and fostering resilience, which contribute to better care.
Weill Cornell Medicine leads a $14.9M NIH grant program to remove latent HIV from cells, aiming for effective cures. Researchers will use a personalized approach to develop tailored immunotherapies and broadly neutralizing antibodies against HIV.
Washington State University researchers developed an AI model that can accurately identify everyday activities from smartwatch data, achieving an accuracy rate of 78%. This breakthrough has potential applications in assessing cognitive health, rehabilitation, disease management, and surgical recovery.
Researchers developed a neoAg mRNA-based vaccine that induces higher frequency of neoAg-specific cytotoxic T cells in mice, leading to tumor regression and eradication. The combination with anti-PD-1 therapy enhances antitumor efficacy, especially against peritoneal metastasis.
A meta-analysis of over 1.5 million patients reveals associations between autoimmune diseases like coeliac disease and increased risks of stomach, bowel, pancreatic, oesophageal, and rectal cancers.
Researchers are developing an AI imaging approach to distinguish between tumor progression and treatment effects in glioblastoma patients, promising to improve care and outcomes. The AI approach has already shown accuracy rates of up to 74% in initial testing.
A new study finds that up to 18% of women are advised to stop breastfeeding due to medication, while chronic illness increases this number to 58%. The research highlights the need for accurate and balanced information about medication safety during breastfeeding.
Researchers developed pH-responsive graphene-based nanocarriers that can target cancer cells, achieving efficient and safe drug delivery. The material's surface charge adapted to the acidic tumor environment, allowing it to bind and enter cancer cells while avoiding healthy tissues.
Researchers at La Jolla Institute for Immunology examine how genetics, sex hormones, and environmental factors shape the immune system. Women have a stronger immune response due to their XX chromosomes and estrogen, but also face an increased risk of autoimmune diseases.
Dr. Adekemi Adeniyan's innovative solutions to tackle oral health disparities in underserved communities have earned her the IHME's 2025 Roux Prize. Her work, using local data and community feedback, has expanded access to dental care for over 100,000 people.
A three-year follow-up study of a personalized program of cognitive functional therapy (CFT) found clinically significant improvements in pain-related activity and pain intensity compared to usual care. The treatment produced large benefits that were sustained over time, offering potential for major human and economic impact.
Researchers at Syracuse University have identified a new target for treating obesity and diabetes, reducing nausea and vomiting associated with existing treatments. A molecule called tridecaneuropeptide (TDN) produced by brain support cells suppresses appetite and improves glucose processing without adverse effects.
Researchers developed a novel framework using generative AI and musculoskeletal simulation to create synthetic gait data. This approach enables more robust and generalizable gait analysis across various patient populations and clinical environments.
A technology expert predicts AI-based medicine will revolutionise care for Alzheimer’s and diabetes, but access must be made available to all patients. The author highlights key innovations such as diagnostic imaging and surgical robots that will aid in more accurate diagnoses and treatments.
Researchers developed a novel radioimmunotherapy that successfully eliminated cancer stem cells (CSCs) in preclinical models of ovarian cancer. The therapy, targeting CSC-associated biomarkers L1CAM + /CD133 + , showed significantly increased cytotoxicity compared to existing treatments.
This article reviews bronchiectasis phenotypes and endotypes, exploring their impact on disease management and treatment strategies. Recent research has identified distinct inflammatory endotypes, guiding targeted therapies and improving patient outcomes through personalized approaches.