Mirko Manchia: Exploring the biological landscape of psychiatric disorders to innovate clinical management with precision medicine approaches
Bibliographic record
Abstract
Dr. Mirko Manchia is an Associate Professor of Psychiatry at the Department of Medical Sciences and Public Health of the University of Cagliari, Cagliari, Italy, and holds an adjunct appointment in Pharmacology at Dalhousie University, Halifax, Nova Scotia, Canada. Dr. Manchia's research examines the genetic basis of bipolar disorder and other related complex traits such as response to long-term treatment with lithium and suicidal behavior. His work is not only of theoretical interest but also clinically relevant. One such example was the publication in the Lancet of genome-wide significant association signals for lithium response in a large cohort of bipolar patients (Hou et al. 2016) performed in the context of the international consortium on pharmacogenetics of lithium response (ConLiGen) of which Dr. Manchia is a co-investigator and founding member. In addition, he was responsible for the phenotypic analysis of the sample (Manchia et al., 2013). During his career, Dr. Manchia has established an excellent track record, having published 230 papers to date in international peer-reviewed journals on molecular genetics and the clinical aspects of bipolar disorder. He is an active Principal Investigator (PI) of research projects funded by EU and national agencies, and he is also involved in several other international consortia, including PGC-BD. He is the chair of the European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network. Furthermore, he serves as the Senior Editor for Neuroscience Letters and is an associate editor for several international Journals. Dr. Manchia has successfully combined molecular-genetic and statistical methods with a clinical understanding of research problems in psychopharmacology and pharmacogenomics. In this Genomic Press Interview, Dr. Manchia is delighted to provide our readers with reflections on his life and career.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".