Breaking News
October 23, 2018 - Researchers identify immune culprits linked to inflammation and bone loss in gum disease
October 23, 2018 - Despite lower risk factors, black men have higher rates of recidivism
October 23, 2018 - Study finds why pregnant women in mainland China, Hong Kong and Taiwan prefer cesarean delivery
October 23, 2018 - AbbVie’s U-ACHIEVE Phase 2b/3 dose-ranging study improves outcomes in patients with ulcerative colitis
October 23, 2018 - NCI grant awarded to Abramson Cancer Center to study CAR T cells In solid tumors
October 23, 2018 - Scientists use electron microscope to study chemical transformation in catalytic cross-coupling reaction
October 23, 2018 - Research offers new hope to men who received childhood cancer treatment
October 23, 2018 - Adverse Childhood Experiences Tied to Burnout in BSN Students
October 23, 2018 - High levels of oral disease among elite athletes affecting performance
October 23, 2018 - Study examines effect of immediate vs delayed pushing during labor on delivery outcomes
October 23, 2018 - LU-RRTC to spearhead capacity-building efforts for racial and ethnic populations
October 23, 2018 - Maintenance therapy with olaparib improves progression-free survival in advanced ovarian cancer patients
October 23, 2018 - Organic food may protect against cancers finds study
October 23, 2018 - Interweaving anxiety disorder associated with stuttering remains unrecognized
October 23, 2018 - Cannabis oil shown to significantly improve Crohn’s disease symptoms
October 23, 2018 - Knowledge of sex differences in lower urinary tract may help stimulate breakthroughs in diagnosis, management
October 23, 2018 - Common antibodies associated with myocardial infarction
October 23, 2018 - Study reveals new treatment option for women with advanced breast cancer resistant to hormone therapy
October 23, 2018 - Brain’s ‘Self-Control’ Center May Be Key to Weight-Loss Success
October 23, 2018 - Prosthetic valve mismatches common in transcatheter valve replacement, ups risk of death
October 23, 2018 - Can virtual reality help people become more compassionate?
October 23, 2018 - Screen time eclipsed outdoor time for most students, shows study
October 23, 2018 - SLU researcher seeks to find solutions for ‘chemo brain’ symptoms and side effects of opioids
October 23, 2018 - Plastics now commonly found in human stools
October 23, 2018 - Zoledronic acid increases disease-free survival in premenopausal women with HR+ early breast cancer
October 23, 2018 - Cancer survivors at risk for heart failure during, after pregnancy
October 23, 2018 - Stanford project brings health education videos to mothers in South Africa
October 23, 2018 - HIV-infected Hispanics at higher risk of developing HPV-related cancers, finds study
October 23, 2018 - Politicians hop aboard ‘Medicare-for-all’ train, destination unknown
October 23, 2018 - Study suggests rising childhood obesity rates as cause for serious hip disease in adolescents
October 23, 2018 - Study highlights existence of barriers to early clinical trial access for adolescents and young adults
October 23, 2018 - Protein sequencing technique could revolutionize biomedical research
October 23, 2018 - Canon Medical to showcase world’s first Ultra-High Resolution CT system at ASTRO 2018
October 23, 2018 - Spectrum Pharmaceuticals Announces Release of Updated Poziotinib Data From MD Anderson Phase 2 Study in Non-Small Cell Lung Cancer Patients
October 23, 2018 - Cancer stem cells use ‘normal’ genes in abnormal ways
October 23, 2018 - Bad Blood: A conversation with investigative reporter John Carreyrou | News Center
October 23, 2018 - As U.S. fertility rates collapse, finger-pointing and blame follow
October 23, 2018 - Researchers develop promising targeted strategy to treat chemo-resistant blood cancer
October 23, 2018 - Pilot clinical trial shows effectiveness of bioelectronic medicine device for lupus
October 23, 2018 - Genentech’s combination therapy improves outcome in patients with non-squamous non-small cell lung cancer
October 23, 2018 - 11th World Stroke Congress examines high stroke impact in low- and middle-income countries
October 22, 2018 - Breast cancer survival could be extended with two new drug combinations
October 22, 2018 - Researchers discover how acne-causing bacteria resist treatment
October 22, 2018 - Cancer trial shows treating the prostate with radiotherapy improves survival
October 22, 2018 - New hope for a drug to treat lymphedema symptoms
October 22, 2018 - Immune-Based Treatment Helps Fight Aggressive Breast Cancer, Study Finds
October 22, 2018 - Takeda announces positive Phase 3 ALTA-1L data in first-line therapy for advanced ALK+ NSCLC
October 22, 2018 - Paternal exercise has significant impact on child’s lifelong metabolic health
October 22, 2018 - Targeting specific genomic mutation in breast cancer improves survival
October 22, 2018 - Loss of tumor protein p53 helps cancer cells grow in hostile environment
October 22, 2018 - IDT to demonstrate CRISPR expertise at European-focused events
October 22, 2018 - Breathing through the nose improves memory consolidation
October 22, 2018 - Recreational Marijuana Now Legal in Canada
October 22, 2018 - Scientists reveal drumming helps schoolchildren diagnosed with autism
October 22, 2018 - A stage IV cancer patient discusses what it means to live well with serious illness
October 22, 2018 - In Kids with Autism, Short Questionnaire May Detect GI Disorders
October 22, 2018 - Innovative strategy opens up new avenue of treatment for anthrax infections
October 22, 2018 - Merck presents MK-1454 Phase 1 data for treatment of advanced solid tumors or lymphomas
October 22, 2018 - Aspirin may be effective in preventing blood clots after knee replacement
October 22, 2018 - Drug cocktail that increases lifespan discovered
October 22, 2018 - Gilead Sciences presents Phase 3 results of filgotinib in biologic-experienced rheumatoid arthritis at 2018 ACR/ARHP Annual Meeting
October 22, 2018 - Study shows potential positive impact of group prenatal care on birth outcomes
October 22, 2018 - Immunotherapy with pembrolizumab extends survival in metastatic or recurrent head and neck cancer
October 22, 2018 - Health Tip: Keep Ticks Away
October 22, 2018 - Obsessive-compulsive disorder – Genetics Home Reference
October 22, 2018 - Researchers find disrupted functional connectivity in cerebellum of adults with HF-ASD
October 22, 2018 - Deciphera presents Phase 1 clinical results of DCC-2618 in patients with gastrointestinal stromal tumors
October 22, 2018 - Combination of Opdivo and Yervoy shows four-year survival benefits in patients with advanced melanoma
October 22, 2018 - Overcoming bottlenecks in early drug discovery with the power of sound
October 22, 2018 - Scientists discover genes that contribute to ADHD development
October 22, 2018 - Incyte announces Phase 2 FIGHT-202 trial data in patients with cholangiocarcinoma
October 22, 2018 - FDA approves update to Rituxan label to include information on treatment of rare forms of vasculitis
October 22, 2018 - At-home biofeedback therapy effective in relieving difficult-to-treat constipation
October 22, 2018 - Merck presents KEYNOTE-057 trial results for patients with high-risk non-muscle invasive bladder cancer
October 22, 2018 - People with periodontal disease less likely to reach healthy blood pressure ranges
October 22, 2018 - Phase III LONSURF study shows progression-free survival in patients with refractory metastatic gastric cancer
October 22, 2018 - Primary care doctors ‘not doing enough’ to curb STDs
October 22, 2018 - Pfizer announces PALOMA-3 trial results in patients with HR+, HER2- metastatic breast cancer
October 22, 2018 - ImmunoGen announces study results of platinum-resistant ovarian cancer therapy at ESMO 2018 Congress
October 22, 2018 - Study findings could set new standard of care for advanced anal cancer
New AI algorithm helps predict medication response in patients with complex mood disorder

New AI algorithm helps predict medication response in patients with complex mood disorder

image_pdfDownload PDFimage_print

Mood disorders like major depressive disorder (MDD) and bipolar disorder are often complex and hard to diagnose, especially among youth when the illness is just evolving. This can make decisions about medication difficult. In a collaborative study by Lawson Health Research Institute, The Mind Research Network and Brainnetome Center, researchers have developed an artificial intelligence (AI) algorithm that analyzes brain scans to better classify illness in patients with a complex mood disorder and help predict their response to medication.

The full study included 78 emerging adult patients from mental health programs at London Health Sciences Centre (LHSC), primarily from the First Episode Mood and Anxiety Program (FEMAP). The first part of the study involved 66 patients who had already completed treatment for a clear diagnosis of either MDD or bipolar type I (bipolar I), which is a form of bipolar disorder that features full manic episodes, as well as an additional 33 research participants with no history of mental illness. Each individual participated in scanning to examine different brain networks using Lawson’s functional magnetic resonance imaging (fMRI) capabilities at St. Joseph’s Health Care London.

The research team analyzed and compared the scans of those with MDD, bipolar I and no history of mental illness, and found the three groups differed in particular brain networks. These included regions in the default mode network, a set of regions thought to be important for self-reflection, as well as in the thalamus, a ‘gateway’ that connects multiple cortical regions and helps control arousal and alertness.

The data was used by researchers at The Mind Research Network to develop an AI algorithm that uses machine learning to examine fMRI scans to classify whether a patient has MDD or bipolar I. When tested against the research participants with a known diagnosis, the algorithm correctly classified their illness with 92.4 per cent accuracy.

The research team then performed imaging with 12 additional participants with complex mood disorders for whom a diagnosis was not clear. They used the algorithm to study a participant’s brain function to predict his or her diagnosis and, more importantly, examined the participant’s response to medication.

“Antidepressants are the gold standard pharmaceutical therapy for MDD while mood stabilizers are the gold standard for bipolar I,” says Dr. Elizabeth Osuch, a clinician-scientist at Lawson, medical director at FEMAP and co-lead investigator on the study. “But it becomes difficult to predict which medication will work in patients with complex mood disorders when a diagnosis is not clear. Will they respond better to an antidepressant or to a mood stabilizer?”

The research team hypothesized that participants classified by the algorithm as having MDD would respond to antidepressants while those classified as having bipolar I would respond to mood stabilizers. When tested with the complex patients, 11 out of 12 responded to the medication predicted by the algorithm.

“This study takes a major step towards finding a biomarker of medication response in emerging adults with complex mood disorders,” says Dr. Osuch. “It also suggests that we may one day have an objective measure of psychiatric illness through brain imaging that would make diagnosis faster, more effective and more consistent across health care providers.”

Psychiatrists currently make a diagnosis based on the history and behavior of a patient. Medication decisions are based on that diagnosis. “This can be difficult with complex mood disorders and in the early course of an illness when symptoms may be less well-defined,” says Dr. Osuch. “Patients may also have more than one diagnosis, such as a combination of a mood disorder and a substance abuse disorder, further complicating diagnosis. Having a biological test or procedure to identify what class of medication a patient will respond to would significantly advance the field of psychiatry.”

Source:

https://www.lawsonresearch.ca/machine-learning-could-predict-medication-response-patients-complex-mood-disorders

Tagged with:

About author

Related Articles