Tag: Depression
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Cops on Ketamine? Navigating Largely Unregulated Mental Health Treatment Hurdles
Introduction: The promise and the perils of ketamine-assisted psychotherapy for first responders Combining psychotherapy with low-dose ketamine—an anesthetic with a history of misuse—has emerged as a controversial but increasingly discussed approach to treating severe depression and post-traumatic stress disorder (PTSD) among high-trauma populations. Firefighters, police officers, and military members often carry invisible burdens, and mental…
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Ketamine for First Responders: Unregulated Care Hurdles
Overview: Ketamine and the push for faster access to mental health care Combining psychotherapy with low-dose ketamine is an emerging approach aimed at treating severe depression and post-traumatic stress, especially for groups exposed to high trauma, such as police officers and firefighters. While early results have drawn attention for rapid symptom relief, the field remains…
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Pioneering Personalized Medicine: Dr. Najaf Amin Redefines Depression Genetics with Multi-Omics
Reframing Depression: From Neurotransmitters to a Systemic Disease In a groundbreaking Genomic Press interview published today, Dr. Najaf Amin, Oxford University Associate Professor and a towering figure in genetics, reveals a shift in how the global research community understands depression. Far from being viewed solely as a neurotransmitter imbalance, depression is increasingly seen as a…
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Pioneering personalized medicine: deciphering depression’s complex biology
Pioneering a systemic view of depression through multi-omics Depression has long been treated as a primarily brain-centric disorder, its causes sought in neurotransmitter imbalances and regional brain activity. A ground‑breaking Genomic Press interview with Dr. Najaf Amin, Oxford University Associate Professor and a leader in molecular epidemiology, shifts that narrative. Her team’s work spans genomics,…
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Pioneering personalized medicine by deciphering depression’s complex biological web
Reframing depression through a systemic, multi-omics lens In a groundbreaking Genomic Press interview, Dr. Najaf Amin—Oxford University Associate Professor and a leading figure in molecular epidemiology—reveals how her research reshapes international understandings of depression genetics. Moving beyond traditional genome-wide association studies, she unveils a holistic approach that integrates genomics, epigenomics, metabolomics, and gut microbiome data…
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Prevalence, risk factors, and ML-based prediction of depression, anxiety, and stress among Bangladeshi university students: insights from a cross-sectional study
Overview Mental health is a foundational element of student well-being, influencing academic success and social integration. A cross-sectional study conducted at two public Bangladeshi universities (Jahangirnagar University, Dhaka, and Patuakhali Science and Technology University) provides a comprehensive look at how common depression, anxiety, and stress are among university students, and how machine learning (ML) can…
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Prevalence, risk factors, and ML-driven prediction of depression, anxiety, and stress among Bangladeshi university students
Overview Mental health is a cornerstone of overall well-being, yet university students in low- and middle-income countries face rising rates of depression, anxiety, and stress. This cross-sectional study from Bangladesh combines traditional epidemiology with machine learning (ML) to assess prevalence, identify associated factors, and predict mental health risk among students from two public universities. Key…
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Prevalence, Predictors, and ML-Based Prediction of Depression, Anxiety, and Stress Among Bangladeshi University Students
Introduction: Mental Health in Bangladeshi Universities Mental health is a cornerstone of overall well-being, impacting students’ academic success, social connections, and long-term trajectories. This study from Bangladesh investigates how common depression, anxiety, and stress are among university students and identifies their key risk factors. It also evaluates how well several machine learning (ML) models can…
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MDMA-Assisted Psychotherapy: A Comprehensive Review in the October 2025 Psychedelics Issue
Overview: MDMA-Assisted Psychotherapy in the Spotlight The October 2025 issue of Psychedelics features a comprehensive review of MDMA-assisted psychotherapy, tracing its trajectory from early synthesis in 1912 to today’s clinical research programs. Led by Dr. Kenji Hashimoto and colleagues, the article synthesizes decades of work that position MDMA not merely as a substance of abuse,…
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Ketamine Therapy: A Modern Depression Solution with Esketamine
Introduction: A Misunderstood Medicine, A Modern Approach For many people living with depression, the path to relief can be winding and uncertain. Traditional antidepressants help some, but others experience persistent symptoms despite several trials. Ketamine therapy, alongside the FDA-approved esketamine (Spravato), is reshaping conversations about what’s possible in modern psychiatric care. When administered in the…