Sentences with phrase «risk prediction»

The goal of the study is to improve the individual risk prediction for these diseases.

Regardless of what climate models find, investigating these long - distance links in weather could also pay off by improving risk prediction and forecasts.

This kind of risk prediction is made possible by the comparison of people who face adversity and survive intact and those who face adversity and go on to exhibit behavior disorders.

In the future, the registry will also develop a new cancer risk prediction program that will exploit efforts in electronic family history taking and related strategies in precision medicine.

This will facilitate comparative analysis, more accurate risk prediction, and provide more tailored, strategic, cost - effective screening for breast cancer than is currently available.

It also enables the implementation of more advanced risk prediction tests, for example with the help of soil and water analyses.

Not all in the genes One of the keys to improving disease risk prediction will be to collect even more comprehensive information from study subjects and individuals.

It proved even more accurate at making suicide risk predictions within this large general population of patients admitted to the hospital.

Risk prediction for this shift is not a productive exercise.

Of particular interest to clinicians, the statement emphasizes the benefits of including information on socioeconomic position in cardiovascular risk prediction models.»

«Assessing a patient's risk of atherosclerosis with carotid vascular ultrasound and cardiac calcium CT imaging yields incremental gains over classical risk factors in cardiovascular risk prediction.»

We begin our critique with the abstract from Skafidas et al. (emphasis added): Continue reading «Guest post: the perils of genetic risk prediction in autism»

The results of the study, published in this month's issue of the Journal of Hydrology, have shown it's possible to increase the speed of a highly accurate flood risk prediction by between 100 - 1000 times compared with techniques currently used by researchers to estimate flood risk under climate change.

«The development of risk prediction calculators like the CRC - PRO is vital for improving medical decision - making,» said Michael Kattan, Ph.D., Chair of the Department of Quantitative Health Sciences in Cleveland Clinic's Lerner Research Institute.

Although hospitals can make risk predictions about when individual asthma patients might return, based on medical histories, the model created by Ram and her collaborators makes predictions at the population level.

Our current approaches for pandemic risk prediction are largely untested, and they have never succeeded in identifying a strain as risky before a pandemic occurred.

When asked about the ethics of offering a drug to people who may never get the disease it's designed to prevent, Michael Sand, the Boehringer scientist overseeing the clinical trial, acknowledges that psychosis risk prediction is far from perfect.

They then analyzed whether each characteristic was associated with mortality, and constructed two scores enabling risk predictions to be made at the time of triage as well as for each day thereafter.

Furthermore, the application of a validated diabetes risk prediction algorithm in a nationally representative cross-sectional survey in Canada showed that among the individual level SES variables, such as lower household income and food insecurity, predicted a higher diabetes risk in women but not in men (97).

The ultimate would be to use PennHIP for early risk prediction and a numerical comparison value, and to select stock with lower ZW or BV numbers if such data is available.

In another study, Matheny et al. (2005) evaluated the discrimination and calibration of mortality risk prediction models (logistic regression) in interventional cardiology and obtained positive results with the use of this method.

«These findings may inform improved risk prediction, both for the general population and BRCA1 mutation carriers,» says Associate Professor Roger Milne at Cancer Council Victoria in Melbourne.

«This ground - breaking work is not only helpful for women from families with many cases of breast cancer, it will improve breast cancer risk prediction for all women, and pave the way for the development of epigenetic therapeutics for breast cancer.»

«We believe that widespread adoption of risk prediction tests based on these findings during healthcare assessments will enable clinicians to intervene with lifestyle changes or treatments that can save lives,» said Alexander B. Niculescu III, M.D., Ph.D., professor of psychiatry and medical neuroscience at the IU School of Medicine and attending psychiatrist and research and development investigator at the Richard L. Roudebush Veterans Affairs Medical Center.

As Vogelstein notes, these genetic risk predictions are unlikely to get much stronger.

The new NIST human genome RMs increase the ability of DNA sequencing laboratories to be more confident in their reporting of true positives, false positives, true negatives and false negatives, and therefore, significantly improve genetic tests used for disease risk prediction, diagnosis, and progression tracking.

The finding that genetic variation identified by trait GWASs partially captures environmental risk factors or protective factors has direct implications for risk prediction models and the interpretation of GWAS findings.

The power of our biomarker panel to provide accurate risk prediction will continue to improve as we include additional biomarkers and build novel risk scores based on large population cohorts.

This brings many benefits for diagnoses, risk prediction and clinical management, but there are accompanying ethical and legal issues of managing information that is relevant to both the individual and their family.

«Our risk prediction model may be helpful to individuals considering donation, and to living donors and their care providers as they plan long - term follow - up care and health maintenance,» added lead author Allan Massie, PhD, MHS.

Understanding the genetic basis of human age - related diseases, as well as normal aging, such as cardiovascular changes, age - related neurodegenerative disease, autoimmune disease, and diabetes constitutes an important step towards unraveling disease pathogenesis and risk prediction.

A small improvement in risk prediction could be achieved by the use of a genetic risk model, even in a sex - specific very high - risk group like women with GDM.

To improve risk prediction and prevention of chronic diseases, such as diabetes and heart disease, Nightingale provides a metabolic profiling technology that measures blood biomarkers (molecules that indicate the presence of disease).

An improved understanding of the association of the NP microbiota with LRTI may lead to the development of new tools for diagnosis or risk prediction.

Our NMR - based metabolomics platform has been used by academic researchers to improve risk prediction and for biomarker discovery of cardiovascular diseases, type 2 diabetes and other disease targets.

A lot of what goes into your credit score is risk prediction.

Risk prediction, crystal balls, all that — there are far better people out there than me for that.

The second author received support from NSF and the Risk Prediction Initiative (RPI).

Putting practice into research: Personality - based typology of adolescent male sexual offenders with implications for etiology, risk prediction, and treatment.

Adolescent sexual offender recidivism: Success of specialized treatment and implications for risk prediction.