Breaking News
August 19, 2018 - Sun Pharma Announces FDA Approval of Cequa (cyclosporine) Ophthalmic Solution to Treat Dry Eye Disease
August 19, 2018 - Researchers examining Parkinson’s resilience
August 19, 2018 - Researchers find mechanism that prepares brain to replicate repeated actions
August 19, 2018 - Those who are emotionally stable when young may remain the most stable as they age
August 19, 2018 - Insight into endocrine cancers and treatment options
August 19, 2018 - HPV Legislation Doesn’t Impact Teen Sexual Behaviors
August 19, 2018 - Exenatide treatment alleviated symptoms of depression in patients
August 19, 2018 - Tufts researchers win grant to study integration of genomic sequencing into neonatal care
August 19, 2018 - Novel finger-prick test can help prevent toxoplasmosis
August 19, 2018 - Cosmetic Procedures Boost Well-Being, Poll Shows
August 19, 2018 - Responsive parenting intervention results in lower BMIs through age three
August 19, 2018 - Anticancer drugs can help plants to battle infection
August 19, 2018 - Sunscreen from bathers releases significant quantities of polluting titanium dioxide into the sea
August 19, 2018 - Case Western Reserve gets three-year grant to enhance food systems in Cleveland neighborhoods
August 19, 2018 - Teenagers can thank their parents’ positive attitude for avoiding obesity
August 19, 2018 - Body mass index positively linked with blood pressure
August 19, 2018 - New tool fills gap in Small Molecules market
August 19, 2018 - Study compares survival outcomes in rural and urban cancer patients enrolled in clinical trials
August 19, 2018 - Researchers develop molecular matrix that delivers healing stem cells to injured elderly muscles
August 19, 2018 - Teva and Regeneron Announce Positive Topline Phase 3 Fasinumab Results in Patients with Chronic Pain from Osteoarthritis of the Knee or Hip
August 19, 2018 - New study pinpoints ways to improve quality of food and nutrition research
August 19, 2018 - Ology Bioservices wins $8.4 million worth agreement to manufacture anti-Ebola monoclonal antibody
August 19, 2018 - New CRISPR technology may help eliminate mutated gene sequence
August 19, 2018 - “Zombie gene” protects elephants from cancer finds study
August 19, 2018 - Study explores how many American cities protect the rights of employed breastfeeding mothers
August 19, 2018 - FDA Approves Lenvima (lenvatinib) for First-line Treatment of Unresectable Hepatocellular Carcinoma (HCC)
August 19, 2018 - Pain: Considering Complementary Approaches (eBook)
August 19, 2018 - Autoimmune response drives vision loss in glaucoma
August 19, 2018 - Tandem Diabetes Care introduces t:slim X2 Insulin Pump with Basal-IQ Technology in the US
August 19, 2018 - Innovative platform developed to destroy cancer cells
August 19, 2018 - Lowering pH inside tumor cells can slow down spread of cancer
August 19, 2018 - Biomarker predicts kidney cancer risk years before diagnosis
August 19, 2018 - Consequences of healthcare-associated infections go beyond patients’ physical health
August 19, 2018 - New drug- free, nanotechnology-based method detects and treats oral plaque
August 19, 2018 - Integration of Opioid, Infectious Disease Treatment Needed
August 19, 2018 - How eye disorders may have influenced the work of famous painters
August 18, 2018 - Blood biomarker could help predict kidney cancer up to five years prior to diagnosis
August 18, 2018 - Dartmouth scientists create more sustainable feed for aquaculture
August 18, 2018 - Immigrants Not a Burden on U.S. Health Care: Study
August 18, 2018 - Women who eat fast food take longer to become pregnant
August 18, 2018 - Most YouTube videos on plastic surgery are misleading marketing campaigns
August 18, 2018 - The essential guide to make your laboratory more sustainable
August 18, 2018 - Loyola Medicine offers scalp cooling treatment to reduce risk of chemotherapy hair loss
August 18, 2018 - Researchers describe promising strategy to remove melanoma’s most powerful defenses
August 18, 2018 - Women with polycystic ovary syndrome dissatisfied with medical care
August 18, 2018 - Research discoveries reveal insights behind neurological degeneration
August 18, 2018 - Researchers win multi-million Euro award to conduct research into liver disease
August 18, 2018 - Survey highlights variations in practice of airway management in pediatric intensive care units
August 18, 2018 - UK students win sponsorship from Promega Corporation
August 18, 2018 - Janssen Reports Positive Topline Results for ATLAS Phase III Study of a Novel, Long Acting Injectable Two-Drug Regimen for the treatment of HIV-1
August 18, 2018 - PSD as a molecular platform for understanding synapse formation and plasticity
August 18, 2018 - Improved visual communication could help patients to make informed health-care decisions
August 18, 2018 - New algorithm helps identify and manage diabetic patients at increased fracture risk
August 18, 2018 - Microscopic insect odour detecting mechanisms discovered
August 18, 2018 - Researchers develop new approach to study how tuberculosis infects people
August 18, 2018 - FDA Approves Kalydeco (ivacaftor) for Cystic Fibrosis in Children Ages 12 to
August 18, 2018 - An ion channel differentiates newborn and mature neurons in the adult brain
August 18, 2018 - Conditions of first sexual encounter can be indicators of future HIV risk and gender-based violence
August 18, 2018 - Socio-economic position associated with pregnant women’s exposure to environmental hazards
August 18, 2018 - Study evaluates how students change their breakfast consumption when given extra time
August 18, 2018 - Chronic perinatal hypoxia linked to locomotor miscoordination, long-term cerebellar learning deficits
August 18, 2018 - Voters to settle dispute over ambulance employee break times
August 18, 2018 - AGA urges policymakers and stakeholders to improve affordability of drugs
August 18, 2018 - Increasing dietary protein may lower risk of diabetes in people with NAFLD
August 18, 2018 - New HIV therapy suppresses viral replication and increases immune cells in drug-resistant patients
August 18, 2018 - Broad Genetic Testing for NSCLC May Not Improve Survival
August 18, 2018 - Discovery opens door for synthetic opioids with less addictive qualities
August 18, 2018 - Transgenic rice plant extracts could help stop the spread of HIV
August 18, 2018 - Hologic’s Cynosure division partners with Porter Instrument to distribute nitrous oxide and oxygen system
August 18, 2018 - Two thyroid medications recalled by FDA
August 18, 2018 - Forecast Sees Abnormal Heat Worldwide Through 2022
August 18, 2018 - Childhood absence epilepsy – Genetics Home Reference
August 18, 2018 - Fearing hard Brexit, UK drugmakers stockpile to protect lives
August 18, 2018 - Discovery may help broaden the scope of defenses against HPV
August 18, 2018 - When they start thinking green, they see green
August 18, 2018 - Scientists introduce microfluidics-based chip for manipulation and analysis of single cells
August 18, 2018 - Researchers design new way to grow nose cells for treating spinal cord injuries
August 18, 2018 - New light shed on relationship between calorie-burning fat and muscle function
August 18, 2018 - Surgery Saturday Instagram series takes you inside Stanford’s OR
August 18, 2018 - Researchers uncover surprising new role for inhibition in the cerebellum
UCLA develops new algorithm that accurately predicts which people will survive heart failure

UCLA develops new algorithm that accurately predicts which people will survive heart failure

image_pdfDownload PDFimage_print

A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure, and for how long, whether or not they receive a heart transplant. The algorithm would allow doctors to make more personalized assessments of people who are awaiting heart transplants, which in turn could enable health care providers to make better use of limited life-saving resources and potentially reduce health care costs.

As precision medicine gains ground in health care, this study could be a key step toward tailoring organ transplant procedures to individual patients. The study, which was published in PLOS One, was led by Mihaela van der Schaar, Chancellor’s Professor of Electrical and Computer Engineering at the

The algorithm, which the researchers call Trees of Predictors, uses machine learning — meaning that computers effectively “learn” from additional new data over time. It takes into account 53 data points — including age, gender, body mass index, blood type and blood chemistry — to address the complex differences among people waiting for heart transplants and the compatibility between potential heart transplant recipients and donors.

The researchers tested the Trees of Predictors on 30 years of data on people who were registered with the United Network for Organ Sharing, the nonprofit organization that matches donors and transplant recipients in the U.S. They found that their algorithm provided significantly better predictions for how long someone would live for than the current methods that health care providers use.

It also outperformed predictions from machine learning methods that have been developed by other research groups.

“Our work suggests that more lives could be saved with the application of this new machine-learning-based algorithm,” said van der Schaar, who also is a Turing Fellow at the Alan Turing Institute in London, and the Man Professor at University of Oxford. “It would be especially useful for determining which patients need heart transplants most urgently and which patients are good candidates for bridge therapies such as implanted mechanical-assist devices.”

The algorithm is able to analyze many possible risk scenarios for potential transplant candidates to help doctors more thoroughly assess people who could be candidates for heart transplants, and it is flexible enough to incorporate more data as treatments evolve.

“Following this method, we are able to identify a significant number of patients who are good transplant candidates but were not identified as such by traditional approaches,” said Dr. Martin Cadeiras, a cardiologist at the

For example, when compared against prediction models that most doctors currently use to project which transplant recipients would live for at least three years after a transplant, a commonly used benchmark, the UCLA algorithm outperformed the models by 14 percent — correctly predicting that 2,442 more heart transplant recipients of the 17,441 who received transplants and lived at least that long after the surgery.

Van der Schaar said that the Trees of Predictors algorithm could be used for insights from medical databases and many other types of complex databases. Already, Yoon, Zame and van der Schaar have shown it can work to recognize handwriting, and to predict credit card fraud and the popularity of specific news items.

Source:

New algorithm more accurately predicts life expectancy after heart failure

Tagged with:

About author

Related Articles