Breaking News
July 22, 2018 - Frequency of joint replacements halved in rheumatoid arthritis patients between 1997-2010
July 22, 2018 - QUT researcher highlights growing impact of non-prescription antibiotics supply in pharmacies
July 22, 2018 - UK health communication researcher seeks solutions for disposing leftover medicine
July 22, 2018 - Pfizer Initiates Pivotal Phase 3 Program for Investigational Hemophilia B Gene Therapy Fidanacogene Elaparvovec
July 22, 2018 - Mutation discovered to protect against Alzheimer’s disease in mice
July 22, 2018 - Researchers reveal how patients in urban areas develop multiple, long-term conditions
July 22, 2018 - Replacing conventional cancer treatment with complementary therapy linked to increased risk of death
July 22, 2018 - Study uncovers molecular key for delaying progression of multiple sclerosis
July 22, 2018 - Availability of athletic trainer in high school reduces injury rates in girls’ sports, shows study
July 22, 2018 - FDA Approves Krintafel (tafenoquine) for the Radical Cure of Plasmodium vivax Malaria
July 22, 2018 - Novel nuclear medicine probe will help assess new drugs for neurodegenerative diseases
July 22, 2018 - Physical activity even during exposure to air pollution can reduce risk of heart attack
July 22, 2018 - Scientists discover protein regulator of myelin production
July 22, 2018 - Sleep disturbances associated with higher dementia risk
July 22, 2018 - Scientists move one step further in developing eye drops to treat age-related macular degeneration
July 22, 2018 - Five-Year Stroke Rates Lower After PCI Versus CABG
July 21, 2018 - Alopecia areata – Genetics Home Reference
July 21, 2018 - Study identifies overdose risk factors in youth with substance use disorders
July 21, 2018 - Drug in clinical trials for Parkinson’s disease offers hope for treating heart failure
July 21, 2018 - Coupling free malaria tests with diagnosis-dependent vouchers can improve rational use of ACTs
July 21, 2018 - Sweetness depends on molecular interactions between specific sugars and water in saliva
July 21, 2018 - Muscle fitness is strongly associated with improved rate of ageing in the brain
July 21, 2018 - Resetting E-Prescriptions for Opioids Helps Curb Use: Study
July 21, 2018 - Overuse of antibiotics not what the doctor ordered
July 21, 2018 - Bundled-payment system did not lower costs for serious medical conditions, shows study
July 21, 2018 - Therapy dogs found to be effective in reducing ADHD symptoms in children
July 21, 2018 - Could rotating multiple therapists better treat PTSD patients?
July 21, 2018 - Binge drinking impairs working memory in adolescent brain
July 21, 2018 - Dying at home could be beneficial for terminally ill cancer patients and their relatives
July 21, 2018 - Researchers identify subtypes of retinal ganglion cells using single-cell RNA sequencing
July 21, 2018 - Study uncovers opportunities to reduce death by suicide among cancer patients
July 21, 2018 - Genetic sequencing reveals new clues to aggressiveness of prostate cancer
July 21, 2018 - BioSight Launches a Phase 2b Clinical Trial of BST-236 as a First-Line Treatment of Acute Myeloid Leukemia
July 21, 2018 - First major study comparing robotic to open surgery published in The Lancet
July 21, 2018 - ADHD medications may fail to improve cognition in healthy college students, study shows
July 21, 2018 - Intervention program that includes a personalized app could benefit teens with suicidal thoughts
July 21, 2018 - Researchers identify new compound that protects against neurodegeneration
July 21, 2018 - Gene therapy may hold potential to treat people with spinal cord injuries
July 21, 2018 - FDA Approves Nivestym (filgrastim-aafi), a Biosimilar to Neupogen
July 21, 2018 - Surgeons have substantial impact on genetic testing in breast cancer patients who need it
July 21, 2018 - Species diversity can have positive and negative impacts on disease transmission
July 21, 2018 - Genome research suggests presence of enteric fever in medieval Europe
July 21, 2018 - Risk of Sensory Deficits Drops With Rising Gestational Age
July 21, 2018 - Mum’s sleep matters—the effect of sleep on an unborn baby
July 21, 2018 - UC San Diego researchers awarded two grants for investigating stem cell-based therapies
July 21, 2018 - Cellular ‘garbage disposal’ may actually work on some of the proteins to neuronal development
July 21, 2018 - More Pregnant Women Having Heart Attacks
July 21, 2018 - Acne Breakouts | NIH News in Health
July 21, 2018 - Change health messaging to focus on potential impact to help stop the next pandemic
July 21, 2018 - Frailty associated with poor survival rates in young heart patients
July 21, 2018 - New discovery could save millions of lives from fatal fungal infections
July 21, 2018 - OBD presents latest data on the use of EpiSwitch™ in predicting patient response to immunotherapy and identifying lymphoma subtypes
July 21, 2018 - Childhood adversity increases susceptibility to addiction via immune response
July 21, 2018 - Scientists identify potential target for the treatment of binge eating
July 21, 2018 - Whole-brain LIPUS therapy improves cognitive dysfunction in mice simulating dementia, Alzheimer’s
July 21, 2018 - Digital media use raising risk of ADHD symptoms among the young
July 21, 2018 - Phase 3 study of tanezumab in patients with osteoarthritis pain meets all three co-primary endpoints
July 21, 2018 - Restoring mitochondrial function to reverse aging-related skin wrinkles, hair loss in mice
July 21, 2018 - SP PennTech introduces RW-500 rotary vial washer for biotech, pharmaceutical applications
July 21, 2018 - Researchers to study molecular mechanisms behind susceptibility of males to autism
July 21, 2018 - Using tendon transfer surgery to restore key functions in spinal cord injury patient
July 21, 2018 - Scientists create wearable device that measures cortisol in sweat
July 21, 2018 - Researchers study efficacy and safety of new treatment for OUD
July 21, 2018 - Fourth Published Clinical Trial Confirms Long-Term Safety of Niagen Supplementation at High Doses and Shows Potential for Improvement in Liver Health
July 21, 2018 - Study examines effects of a two-day intermittent calorie restriction diet for patients with type 2 diabetes
July 21, 2018 - Greening vacant urban land reduces feelings of depression for surrounding residents
July 21, 2018 - Parents say intense gun violence in PG-13 movies appropriate for teens 15 and older
July 21, 2018 - Collaborative study to assess effects of exercise training for cognitive deficits in MS
July 21, 2018 - FAU researchers find possible cause of Parkinson’s disease in the patients’ immune system
July 21, 2018 - Protective qualities of ‘good cholesterol’ reduce after menopause
July 21, 2018 - Researchers develop new way to uncover hidden breast cancer tumors
July 21, 2018 - FDA approves first drug for treatment of adult AML patients with specific genetic mutation
July 21, 2018 - Top AI companies join hands to discover novel drugs for DMD
July 21, 2018 - Ferring announces FDA approval of ZOMACTON for injection in four new pediatric indications
July 20, 2018 - Researchers design proteins that can self-assemble into complex structures
July 20, 2018 - AVITA Medical expands management team to support launch of RECELL device to treat burns
July 20, 2018 - FDA Approves Tibsovo (ivosidenib) for Relapsed or Refractory Acute Myeloid Leukemia with an IDH1 Mutation
July 20, 2018 - Developmental screening and surveillance rates remain low, new study suggests
July 20, 2018 - TGen opens tissue donation portal to advance DIPG research
July 20, 2018 - Health impact of highly processed summertime staples
Insilico Medicine develops new deep-learning based hematological human aging clock

Insilico Medicine develops new deep-learning based hematological human aging clock

image_pdfDownload PDFimage_print

Today, Insilico Medicine, Inc., a Baltimore-based company specializing in the application of artificial intelligence for drug discovery, biomarker development and aging research, announced a publication of a research paper titled “Population-specific biomarkers of human aging: a big data study using South Korean, Canadian and Eastern-European patient populations” in The Journal of Gerontology.

In the paper, the authors present a novel deep-learning based hematological human aging clock, a biomarker that predicts the biological age of individual patients. This big data study uses a large dataset of fully anonymized Canadian, South Korean and Eastern European blood test records to train an aging clock. The developed model predicts the age better than models tailored to the specific populations highlighting the differences of subregion-specific patterns of aging. In addition, the developed clocks were shown to be a better predictor of all-cause mortality than chronological age. The paper includes co-authors from Gachon University Gil Medical Center, University of Copenhagen, University of Alberta, and the Biogerontology Research Foundation.

“If we are to develop actionable biomarkers of aging, we need a comprehensive and robust approach. Such an approach can only be developed using a large number of samples from multiple populations. We are working on multiple biomarkers using deep learning and incorporating blood biochemistry, transcriptomics, and even imaging data to be able to track the effectiveness of the various interventions we are developing”. said Polina Mamoshina, a senior research scientist at Insilico Medicine.

“The pursuit of biological aging clocks is a major focus point of the aging field and is a key step in the development of interventions in human aging. This paper represents the evolution of the first easily adaptable clock that can be applied at a population level regardless of population biases. The clock is very cost-effective, without the requirement of next-generation sequencing or other specialized equipment. It is therefore extraordinarily suited for testing aging-interventions in multiple settings across the globe.” said Morten Scheibye-Knudsen, MD, Head of the Biology of Aging Laboratory, Center for Healthy Aging, and associate professor, University of Copenhagen.

“Development of effective biomarkers of age is one of the most pressing goals in geroscience today, as it lays the foundation for efficient preclinical and clinical evaluation of potential healthspan-extending interventions. Humans live a long time, and testing the effect of gerontological interventions in humans using lifespan gains as the main criterion for success would be wildly impractical, necessitating long and costly longitudinal studies. By developing accurate biomarkers of aging, the efficacy of potential healthspan-extending interventions could instead be tested according to changes in study participants’ biomarkers of age. While significant attention is paid to the development of highly accurate biomarkers of aging, less attention is paid to developing actionable biomarkers of aging that can be tested inexpensively using the tools at hand to the majority of researchers and clinicians. We developed the deep-learning based, blood biochemistry aging clock presented in this paper in the hopes of making progress toward the goal of more actionable biomarkers of aging” said Franco Cortese, co-author of the paper and Deputy Director of the Biogerontology Research Foundation.

“This work demonstrates the synergy between artificial intelligence and aging research. Every living being has age as a feature and it is possible to engage in multi-national collaborations using the very simple data types to assess the population specificity of age predictors. Our group is using advanced AI for multiple clinical applications and has a working collaboration with IBM Watson, but working with Insilico Medicine is a pleasure”, said Lee Uhn, PhD, Chief of Artificial Intelligence at the Gachon University Gil Medical Center.

“Age is one of the features possessed by every living creature. In 2015 we made a very neat discovery – when we train the deep neural networks to predict the age of the person, the DNNs capture the most biologically-relevant features and can be re-trained on diseases and can be used to integrate the multiple data types and also extract the most important features within each data type and across the data types. In this paper we show one of the proofs of concept on a very simple and abundant data type that we can now assess the population-specificity of the predictors, the importance of ethnicity and population group in age prediction and the differences in the most important features contributing to the accuracy of these predictors”, said Alex Zhavoronkov, PhD, CEO of Insilico Medicine, Inc.

This work may help improve clinical trial enrollment practices, assess the population specificity of a variety of the biomarkers and pave the way for the development of more complex multi-modal biomarkers of aging and disease.

Source:

http://www.insilicomedicine.com/

Tagged with:

About author

Related Articles