Provost honours 28 McGill professors for exceptional research achievements
Provost and Vice-President (Academic) Christopher Manfredi has named 28 McGill professors as Distinguished James McGill Professors, James McGill Professors or William Dawson Scholars. The internal awards recognize exceptional research achievements.
McGill Cares: Building your team for unplanned life transitions
Join us on May 7th at noon for the next McGill Cares webcast to support informal caregivers. During candid, interviews with leading experts, Claire Webster explores topics related to caring for a loved one with dementia.
Cross-pollinating ideas at the SCSD Research Day
Student presenters at the SCSD Research Day, which took place on February 21, 2025.
Cross-pollinating ideas at the SCSD Research Day
Student presenters at the SCSD Research Day, which took place on February 21, 2025.
Cross-pollinating ideas at the SCSD Research Day
Student presenters at the SCSD Research Day, which took place on February 21, 2025.
Cross-pollinating ideas at the SCSD Research Day
Student presenters at the SCSD Research Day, which took place on February 21, 2025.
Cross-pollinating ideas at the SCSD Research Day
Student presenters at the SCSD Research Day, which took place on February 21, 2025.
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
AI analysis of healthcare records reveals key factors in autism diagnosis
Without clear and effective biological tests for autism based on genes, brain or blood measurements, diagnosis today still largely depends on clinical assessment. The standard way of doing this is by observing how the individual fits the criteria for autism listed in gold standard manuals like the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).