Breaking News
August 20, 2018 - Study reveals how socioeconomic status affects racial, ethnic disparities in childhood cancer survival
August 20, 2018 - Brain tumors trap immune cells needed to fight cancer in the bone marrow, finds research
August 20, 2018 - Three factors that contribute to physician burnout
August 20, 2018 - Babies dependent on opioids need touch, not tech
August 20, 2018 - Understanding How Antibodies Shape the Gut Microbiome
August 20, 2018 - Cara Therapeutics Doses First Patient in Second Pivotal Phase 3 Efficacy Trial of Korsuva (CR845/difelikefalin) Injection in Hemodialysis Patients with Chronic Kidney Disease-Associated Pruritus
August 20, 2018 - Kidney transplant chains more effective in saving lives
August 20, 2018 - Study unravels cellular and molecular mechanisms behind dermal condensate formation
August 20, 2018 - New integrated gene logic-chips could have great value in medical care
August 20, 2018 - FDA Advisory Committee Recommends Approval of Paratek’s Omadacycline
August 20, 2018 - Total, open repairs decline for abdominal aortic aneurysms
August 20, 2018 - Novel system can pinpoint ingestible implants inside the body using wireless signals
August 20, 2018 - Infection rates of high risk oral HPV in England found to be lower than expected
August 20, 2018 - Making robots as valuable and trustworthy assistants for medical therapies
August 20, 2018 - Patients with low-risk blood clots can be better treated at home than at hospital
August 20, 2018 - Passive smoking exposure among kids greatly increases COPD risk late in life
August 20, 2018 - Primary Care Provider Burnout Rate Low in Small Practices
August 20, 2018 - Discovery presents treatment hope for Alzheimer’s and other neurodegenerative diseases
August 20, 2018 - Stroke patients appear to receive better care at teaching hospitals with less chance of readmission
August 20, 2018 - Distinct origin of ADHD identified In children with history of traumatic brain injury
August 20, 2018 - AHA: Wildfire Smoke Threatens Health of Those Near and Far
August 20, 2018 - Here’s a mental health workout that’s as simple as ABC
August 20, 2018 - Newly discovered cytoskeleton utilized by cancer cells for survival
August 19, 2018 - Bifidobacteria supplement colonizes gut of breastfed infants
August 19, 2018 - Why patients with Alzheimer’s markers never develop the condition
August 19, 2018 - ACA’s Medicaid expansion associated with increase in prescriptions for opioid use disorder treatment
August 19, 2018 - Important factor may be missing in models used to predict spread of epidemics from climate change
August 19, 2018 - Indian-Americans have fewer sudden infant deaths, study finds
August 19, 2018 - Experts advise against universal genomic screening of newborns
August 19, 2018 - New trial to investigate whether weight loss before conception can make mom and baby healthier
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 - HPI, INTEGRIS and USPI enter into agreement to offer patients more choice, flexibility of care
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 - URI professor develops simpler and quicker method for detecting impurity in heparin
August 19, 2018 - Mayo Medical Laboratories and NDSC collaborate to develop new patient blood-management solution
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
Machine-learning may aid in diagnosis and treatment of mental health disorders

Machine-learning may aid in diagnosis and treatment of mental health disorders

image_pdfDownload PDFimage_print

Could the diagnosis and treatment of mental health disorders one day be aided through the help of machine learning? New research from the University of Alberta is bringing us closer to that future through a study published in Molecular Psychiatry.

The research was led by Bo Cao at the U of A’s Department of Psychiatry, with the collaboration of Xiang Yang Zhang at the University of Texas Health Science Center at Houston. They used a machine-learning algorithm to examine functional magnetic resonance imaging (MRI) images of both newly diagnosed, previously untreated schizophrenia patients and healthy subjects. By measuring the connections of a brain region called the superior temporal cortex to other regions of the brain, the algorithm successfully identified patients with schizophrenia at 78 per cent accuracy. It also predicted with 82 per cent accuracy whether or not a patient would respond positively to a specific antipsychotic treatment named risperidone.

“This is the first step, but ultimately we hope to find reliable biomarkers that can predict schizophrenia before the symptoms show up,” said Cao, an assistant professor of psychiatry at the U of A. “We also want to use machine learning to optimize a patient’s treatment plan. It wouldn’t replace the doctor. In the future, with the help of machine learning, if the doctor can select the best medicine or procedure for a specific patient at the first visit, it would be a good step forward.”

Approximately one in 100 people will be affected by schizophrenia at some point in their lives, a severe and disabling psychiatric disorder that comes with delusions, hallucinations and cognitive impairments. Most patients with schizophrenia develop the symptoms early in life and will struggle with them for decades.

According to Cao, early diagnosis of schizophrenia and many mental disorders is an ongoing challenge. Coming up with the personalized treatment strategy at the first visit with a patient is also a challenge for clinicians. Current treatment of schizophrenia is still often determined by a trial-and-error style. If a drug is not working properly, the patient may suffer prolonged symptoms and side effects, and miss the best time window to get the disease controlled and treated.

Cao hopes to expand the work to include other mental illness such as major depressive and bipolar disorders. While the initial results of schizophrenia diagnosis and treatment are encouraging, Cao says that further validations on large samples will be necessary and more refinement is needed to increase accuracy before the work can be translated into a useful tool in a clinical environment.

“It will be a joint effort of the patients, psychiatrists, neuroscientists, computer scientists and researchers in other disciplines to build better tools for precise mental health,” said Cao. “We have a Computational Psychiatry group at U of A with a team of excellent clinicians and scientists to work collaboratively on this challenging problem.”

Source:

https://www.ualberta.ca/medicine/news/2018/july/machine-learning-helps-to-predict-the-treatment-outcomes-of-schizophrenia

About author

Related Articles