Data Science for Mental Health (DS4MH) @ The Alan Turing Institute
Upcoming Talks
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2025.05.15 | 15:00 | Introduction | |
| 15:05 | Viet Cuong (Johnny) Nguyen (Georgia Institute of Technology) |
Do Large Language Models Align with Core Mental Health Counseling Competencies?
The rapid evolution of Large Language Models (LLMs) offers promising potential to alleviate the global scarcity of mental health professionals. However, LLMs' alignment with essential mental health counseling competencies remains understudied. We introduce CounselingBench, a novel NCMHCE-based benchmark evaluating LLMs across five key mental health counseling competencies. Testing 22 general-purpose and medical-finetuned LLMs, we find frontier models exceed minimum thresholds but fall short of expert-level performance, with significant variations: they excel in Intake, Assessment & Diagnosis yet struggle with Core Counseling Attributes and Professional Practice & Ethics. Medical LLMs surprisingly underperform generalist models accuracy-wise, while at the same time producing slightly higher-quality justifications but making more context-related errors. Our findings highlight the complexities of developing AI systems for mental health counseling, particularly for competencies requiring empathy and contextual understanding. We found that frontier LLMs perform at a level exceeding the minimal required level of aptitude for all key mental health counseling competencies, but fall short of expert-level performance, and that current medical LLMs do not significantly improve upon generalist models in mental health counseling competencies. This underscores the critical need for specialized, mental health counseling-specific fine-tuned LLMs that rigorously aligns with core competencies combined with appropriate human supervision before any responsible real-world deployment can be considered. |
|
| 15:40 | Dr. Yuxiang Zhou (QMUL/KCL) |
Modeling Subjectivity in Cognitive Appraisal with Language Models
As the utilization of language models in interdisciplinary, human-centered studies grow, the expectation of model capabilities continues to evolve. Beyond excelling at conventional tasks, models are recently expected to perform well on user-centric measurements involving confidence and human (dis)agreement- factors that reflect subjective preferences. While modeling of subjectivity plays an essential role in cognitive science and has been extensively studied, it remains under-explored within the NLP community. In light of this gap, we explore how language models can harness subjectivity by conducting comprehensive experiments and analysis across various scenarios using both fine-tuned models and prompt-based large language models (LLMs). Our quantitative and qualitative experimental results indicate that existing post-hoc calibration approaches often fail to produce satisfactory results. However, our findings reveal that personality traits and demographical information are critical for measuring subjectivity. Furthermore, our in-depth analysis offers valuable insights for future research and development in the interdisciplinary studies of NLP and cognitive science. |
|
| 16:20 | After talks discussion |
Previous Talks
2025
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2025.04.17 | 15:00 | Introduction | |
| 15:05 | Barry Ryan (University of Edinburgh) |
Combining Clinical Embeddings with Multi-Omic Features for Improved Patient Classification and Interpretability in Parkinson’s disease | |
| 15:40 | Merve Cerit (Stanford University) |
Working with Screenomes to Build Person-Specific Models of Smartphone Use and Mental Health | |
| 16:20 | After talks discussion | ||
| 2025.03.20 | 15:00 | Introduction | |
| 15:05 | Ruiyi Wang (UCSD) |
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals | |
| 15:40 | Lujain Ibrahim (University of Oxford) |
Multi-turn evaluation of anthropomorphic behaviors in large language models | |
| 16:20 | After talks discussion | ||
| 2025.02.20 | 15:00 | Introduction | |
| 15:05 | Yehu Chen (Washington University in St. Louis) |
Personalized Personality Modeling with Gaussian Processes: Insights from a New Longitudinal Dataset | |
| 15:40 | Dr. Dong Whi Yoo (Kent State University) |
Lived Experience Centered AI in Mental Health | |
| 16:20 | After talks discussion | ||
| 2025.01.16 | 15:00 | Introduction | |
| 15:05 | Vivian Nguyen & Dave Jung (Cornell University) |
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy | |
| 15:40 | Nivedita Bijlani (University of Surrey) |
Smart Sensing in Dementia Care: Lightweight, Explainable AI Validated for Early Warning of Health Events in the Home | |
| 16:20 | After talks discussion |
2024
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2024.11.21 | 15:00 | Introduction | |
| 15:05 | Dr. Daeun Lee (Sungkyunkwan University, Seoul) |
Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning | |
| 15:40 | Kubra Cengiz (Istanbul Technical University) |
Cortical morphological networks for profiling autism spectrum disorder using tensor component analysis | |
| 16:20 | After talks discussion | ||
| 2024.10.17 | 15:00 | Introduction | |
| 15:05 | Dr. Angus Addlesee (Amazon Alexa) |
Deploying an Accessible LLM-based Conversational Agent in a Hospital | |
| 15:40 | Dr. Baihan Lin (Icahn School of Medicine at Mount Sinai) |
Charting Therapeutic Alliances Turn-by-Turn via Language Modeling | |
| 16:20 | After talks discussion | ||
| 2024.09.19 | 15:00 | Introduction | |
| 15:05 | Harsh Kumar (University of Toronto) |
Using Adaptive Bandit Algorithms and LLM Agents for Improving Engagement with Digital Mental Health Interventions | |
| 15:40 | Prof. Emiel Krahmer (Tilburg University) |
Towards a Digital Self-Management Platform for People with Severe Mental Illness | |
| 16:20 | After talks discussion | ||
| 2024.07.18 | 15:00 | Introduction | |
| 15:05 | Vasudha Varadarajan (Stony Brook University) |
ALBA: Adaptive Language-based Assessments for Mental Health | |
| 15:45 | Dr. Guy Laban (University of Cambridge) |
Social Robots as Communication Partners to Support Emotional Health and Well-Being | |
| 16:20 | After talks discussion | ||
| 2024.06.20 | 15:00 | Introduction | |
| 15:05 | Rémi Vaucher (University of Lyon 2) |
Time Topological Analysis of EEG, a novel approach to unveil pre-critical behavior of epileptic seizure | |
| 15:45 | Yi Zhang (Peking University) |
Facial Prior Guided Micro-Expression Generation | |
| 16:20 | After talks discussion | ||
| 2024.05.16 | 15:00 | Introduction | |
| 15:05 | Dr. Weichen Wang (Meta/Dartmouth College) |
The Power of Speech in the Wild: Discriminative Power of Daily Voice Diaries in Understanding Auditory Verbal Hallucinations Using Deep Learning | |
| 15:45 | Prof. Joseph Hayes (UCL) |
Applied informatics to improve outcomes in severe mental illness | |
| 16:20 | After talks discussion | ||
| 2024.04.18 | 15:00 | Introduction | |
| 15:05 | Dr. Dominic Oliver (University of Oxford) |
Implementation and dynamic refinement of clinical prediction models to enhance psychosis prevention | |
| 15:45 | Dr. Wenzhuo Zhou (University of California Irvine) |
Actor-critic graph neural networks: A complete recipe for neural decoding | |
| 16:20 | After talks discussion | ||
| 2024.02.15 | 15:00 | Introduction | |
| 15:05 | Dr. Isabel Berwian (Princeton University) |
Computational models of learning to understand and improve change mechanisms in psychotherapy | |
| 15:45 | Dr. Josefien Breedvelt (King’s College London) |
Preventing depressive relapse – what works for whom | |
| 16:20 | After talks discussion | ||
| 2024.01.18 | 15:00 | Introduction | |
| 15:05 | Daniela Teodorescu (LMU Munich) |
Language and mental health: measures of emotion dynamics from text as linguistic biosocial markers | |
| 15:45 | Kailai Yang (University of Manchester) |
MentaLLaMA: Interpretable mental health analysis on social media with large language models | |
| 16:20 | After talks discussion |
2023
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2023.11.16 | 15:00 | Introduction | |
| 15:05 | Ali Behrouz (Cornell University) |
Unsupervised and explainable learning of temporal multiplex patterns to detect anomalous brain activity | |
| 15:45 | Arvind Pillai (Dartmouth College) |
Generalizability in mental health: a spotlight on speech-based suicidal ideation detection | |
| 16:20 | After talks discussion | ||
| 2023.10.19 | 15:00 | Introduction | |
| 15:05 | Prof. Gary Green (University of York) |
Structural and brain activity changes after head injury | |
| 15:45 | Dr. Josefina Cruzat (Universidad Adolfo Ibáñez) |
Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease | |
| 16:20 | After talks discussion | ||
| 2023.09.14 | 15:00 | Introduction | |
| 15:05 | Prof. Seena Fazel (University of Oxford) |
Suicide prediction – recent developments including regression-based compared with machine learning approaches | |
| 15:40 | After talks discussion | ||
| 2023.07.20 | 15:00 | Introduction | |
| 15:05 | Dr. Danilo Moggia (University of Trier) |
Advancing precision psychotherapy: embracing causal inference with continuous-time dynamic modelling | |
| 15:45 | Dr. Micol Spitale (University of Cambridge) |
Robotic coaches to promote mental well-being in the workplace | |
| 16:20 | After talks discussion | ||
| 2023.06.15 | 15:00 | Introduction | |
| 15:05 | Dr. Keno Juchems (Limbic AI) |
Predicting diagnoses and improving outcomes with ML for mental health | |
| 15:40 | Dr. Omid Ebrahimi (University of Oxford) |
Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics in the assessment of major depressive disorder | |
| 16:20 | After talks discussion | ||
| 2023.05.18 | 15:00 | Introduction | |
| 15:05 | Dr. Qiang Liu (University of Oxford) |
Personalised treatment for cognitive impairment in dementia | |
| 15:45 | After talks discussion | ||
| 2023.04.20 | 15:00 | Introduction | |
| 15:05 | Dr. Edmond Ho (University of Glasgow) |
Emotion analysis and transfer for facial expressions and body movements | |
| 15:40 | Dr. Gabriela Lunansky (University of Amsterdam) |
Intervening on psychopathology networks through simulations | |
| 16:20 | After talks discussion | ||
| 2023.03.16 | 15:00 | Introduction | |
| 15:05 | Dr. Sean Kelley (Trinity College Dublin) |
Using social media data as a novel approach for constructing personalised depression networks | |
| 15:40 | Prof. Gary Brown (Royal Holloway, University of London) |
Psychometrics of CBT depression constructs: Potential lessons for data science | |
| 16:20 | After talks discussion | ||
| 2023.02.16 | 15:00 | Introduction | |
| 15:05 | Michael Hoefer (University of Colorado Boulder) |
Designing technology to support co-tracking of mental wellbeing in bipolar disorder | |
| 15:40 | Prof. Christine Parsons (Aarhus University), Dr. Kirstin Purves (King's College London) |
Different trajectories of depression, anxiety and anhedonia symptoms in the first 12 months of the COVID-19 pandemic in a UK longitudinal sample | |
| 16:20 | After talks discussion | ||
| 2023.01.19 | 15:00 | Introduction | |
| 15:05 | Dr. Daniele Bertolini (Unlearn.AI) |
Machine learning enables faster clinical trials for Alzheimer's Disease | |
| 15:45 | Rosamund Powell (Alan Turing Institute) |
Trustworthy assurance of digital mental health technologies | |
| 16:15 | After talks discussion |
2022
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2022.11.17 | 15:00 | Introduction | |
| 15:05 | Dr. Stefan Rennick-Egglestone (University of Nottingham) |
What can we learn from publicly shared online accounts of mental health recovery? | |
| 15:40 | Dr. Anja Thieme (Microsoft) |
Responsible development of AI applications for online CBT treatment | |
| 16:15 | After talks discussion | ||
| 2022.10.20 | 15:00 | Introduction | |
| 15:05 | Dr. Bernadette Stolz (EPFL) |
Topological data analysis of task-based fMRI data from experiments on schizophrenia | |
| 15:40 | Dr. Juan Carlos Díaz-Patiño & Dr. Sarael Alcauter Solorzano (Universidad Nacional Autónoma de México) |
Topological Data Analysis applied to the study of the functional brain connectome: Statistical comparisons using Betti curves | |
| 16:15 | After talks discussion | ||
| 2022.09.15 | 15:00 | Introduction | |
| 15:05 | Prof. Francis Szele (University of Oxford) |
Molecular and cellular approaches to understanding schizophrenia | |
| 15:40 | Prof. Dana Atzil-Slonim (Bar-Ilan University) |
Revealing verbal and non-verbal signals of positive change in the treatment of depression | |
| 16:15 | After talks discussion | ||
| 2022.07.21 | 15:00 | Introduction | |
| 15:05 | Dr. Vedant Das Swain (Georgia Institute of Technology) |
Semantic gap in predicting mental wellbeing through passive sensing | |
| 15:40 | Dan Adler (Cornell University) |
Are mental health digital biomarkers reliable? | |
| 16:15 | After talks discussion | ||
| 2022.06.16 | 15:00 | Introduction | |
| 15:05 | Dr. Vincent Taschereau-Dumouchel (University of Montreal) |
Towards closed-loop control of affective processes in the brain | |
| 16:00 | After talks discussion | ||
| 2022.05.19 | 15:00 | Introduction | |
| 15:05 | Yuezhou Zhang (King's College London) |
Longitudinal relationships between depressive symptom severity and phone-measured mobility | |
| 15:40 | Dr. Marijn ten Thij (Maastricht University) |
Measuring distorted thinking in written text | |
| 16:15 | After talks discussion | ||
| 2022.04.21 | 15:00 | Introduction | |
| 15:05 | Lasse Hansen (Aarhus University) |
A generalizable speech emotion recognition model reveals depression and remission | |
| 15:40 | Dr. Federica Marinaro (Alzheimer's Research UK) |
The EDoN initiative: an international and multidisciplinary effort for transforming the early detection of dementia-causing diseases | |
| 16:15 | After talks discussion | ||
| 2022.03.17 | 15:00 | Introduction | |
| 15:05 | Dr. Nikos Flemotomos (University of Southern California) |
Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations | |
| 15:40 | Dr. Carl Yang (Emory University) |
Graph neural networks for connectome-based mental disorder analysis | |
| 16:15 | After talks discussion | ||
| 2022.02.17 | 15:00 | Introduction | |
| 15:05 | Dr. Maxime Taquet (University of Oxford) |
Neuropsychiatric sequelae of COVID: from broad to deep phenotyping | |
| 15:40 | After talks discussion | ||
| 2022.01.20 | 15:00 | Introduction | |
| 15:05 | Prof. John Geddes (University of Oxford) |
2022: Time to accelerate the application of data science to mental health | |
| 15:40 | After talks discussion |
2021
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2021.11.18 | 15:00 | Introduction | |
| 15:05 | Krishnakant Saboo (University of Illinois Urbana-Champaign) |
Reinforcement learning based disease progression model for Alzheimer's Disease | |
| 15:40 | Dr. Katie Lewis (Cardiff University) |
The effect of the COVID-19 pandemic on individuals with pre-existing psychiatric disorders | |
| 16:15 | After talks discussion | ||
| 2021.10.21 | 15:00 | Introduction | |
| 15:05 | Tayla McCloud (UCL) |
The mental health of higher education students: a comparison with non-students and an investigation into the role of finances and debt | |
| 15:40 | Mallory Dobias (Stony Brook University) |
Expanding our reach: Considerations and future directions for improving adolescents’ access to mental health care | |
| 16:20 | After talks discussion | ||
| 2021.09.16 | 15:00 | Introduction | |
| 15:10 | Yilin Pan (University of Sheffield) |
Speech- and language-based automatic dementia detection and tracking in a home-based environment | |
| 15:45 | Dr. Kathryn Mansfield & Dr. Sinead Langan (The London School of Hygiene & Tropical Medicine) |
Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study | |
| 16:20 | After talks discussion | ||
| 2021.07.15 | 15:00 | Introduction | |
| 15:15 | Han-Chin Shing (University of Maryland) |
A prioritization model for suicidality risk assessment | |
| 15:45 | Dr. Stefano Goria (Thymia) |
The challenges of remote multi-modal data collection | |
| 16:15 | After talks discussion | ||
| 2021.06.17 | 15:00 | Introduction | |
| 15:30 | Dr. Caroline Nettekoven (University of Cambridge) |
Towards transcribed speech networks as a marker for psychosis risk | |
| 16:00 | Dr. Kimberly Carpenter (Duke University) |
Digital behavioral phenotyping detects atypical patterns of facial expression in toddlers with autism | |
| 16:30 | After talks discussion | ||
| 2021.05.20 | 15:00 | Introduction | |
| 15:05 | Dr. Lindsay Dewa (Imperial College London) |
CCopeY: Co-producing with young people to examine youth mental health in the UK during COVID-19 | |
| 15:30 | Dr. Hei Wan (Karen) Mak (UCL) |
The role of arts and culture in supporting health and wellbeing | |
| 16:00 | After talks discussion | ||
| 2021.04.15 | 15:00 | Introduction | |
| 15:30 | Dr. Talayeh Aledavood (Aalto University) |
Digital phenotyping for patients with mood disorders | |
| 16:00 | Dr. Vincent Tseng (Verily) |
Developing interpretable models to predict symptoms of schizophrenia | |
| 16:30 | After talks discussion | ||
| 2021.03.18 | 15:00 | Introduction | |
| 15:30 | Dr. Nicole Dalia Cilia (University of Cassino and Southern Lazio) |
From handwriting to cognitive impairment diagnosis: a machine learning approach | |
| 16:00 | Dr. Saturnino Luz (University of Edinburgh) |
Digital biomarkers for dementia prediction | |
| 16:30 | After talks discussion | ||
| 2021.02.18 | 15:00 | Introduction | |
| 15:30 | Dr. Richard Shaw (University of Glasgow) |
Living alone’s, loneliness’s and emotional support’s relationship with death by suicide and hospital admissions for self-harm: A data linkage study using UK Biobank | |
| 16:00 | Dr. Zhuoqing (George) Chang (Duke University) |
Novel scalable computational methods reveal atypical patterns of gaze in toddlers with autism spectrum disorder | |
| 16:30 | After talks discussion | ||
| 2021.01.14 | 15:00 | Introduction | |
| 15:30 | Dr. Karen Mansfield (University of Oxford) |
Estimating and tracking prevalence of mental health problems in annually-repeated cross-sectional survey data from a school population | |
| 16:00 | Dr. Alice Wickersham (King's College London) |
Using linked health and education data to investigate school performance trajectories among children and adolescents with depression | |
| 16:30 | After talks discussion |
2020
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2020.11.19 | 15:00 | Introduction | |
| 15:30 | Dr. Feifei Bu (UCL) |
COVID-19 social study: Understanding the psychological & social impact of the pandemic | |
| 16:00 | Dr. Matthias Pierce (University of Manchester) |
The effect of the pandemic on population mental health: findings from Understanding Society | |
| 16:30 | After talks discussion | ||
| 2020.10.15 | 15:00 | Introduction | |
| 15:30 | Lucia Lushi Chen (University of Edinburgh) |
Monitoring psychological processes underpinning mental disorders using social media data | |
| 16:00 | Dr. Lucia Valmaggia (King's College London) |
Virtual reality for mental health | |
| 16:30 | After talks discussion | ||
| 2020.09.17 | 15:00 | Introduction | |
| 15:30 | Dr. Margarida Madaleno (LSE) |
Do people adapt to stressors? Evidence from Twitter | |
| 16:00 | Dr. Paris Alexandros Lalousis (University of Birmingham) |
Transdiagnostic Features, Comorbidity and Classification of Recent Onset Psychosis and Depression: a Multimodal Machine Learning Approach | |
| 16:30 | After talks discussion | ||
| 2020.07.16 | 15:00 | Introduction | |
| 15:30 | Nina Di Cara (University of Bristol) |
Mood Music: Can we infer wellbeing from Spotify? | |
| 16:00 | Dr. Valentin Tablan (Ieso Digital Health) |
Natural language processing for mental healthcare | |
| 16:30 | After talks discussion | ||
| 2020.06.18 | 15:00 | Introduction | |
| 15:30 | Dr. Sumithra Velupillai (King's College London) |
Extracting psychosis symptom onset information from electronic health records using natural language processing approaches | |
| 16:00 | Dr. Katharine Smith (University of Oxford) |
Digital technologies and telepsychiatry: an evidence-based synthesis of current guidance | |
| 16:30 | After talks discussion | ||
| 2020.05.21 | 15:00 | Introduction | |
| 15:30 | Dr. Michael Browning (University of Oxford) |
A computational approach to mood instability | |
| 16:00 | Dr. Roland Zahn (King's College London) |
Predicting clinical outcomes in major depressive disorder | |
| 16:30 | After talks discussion | ||
| 2020.04.16 | 15:00 | Introduction | |
| 15:30 | Aaron Kandola (UCL) |
Physical activity, sedentary behaviour, and common mental health disorders in the population | |
| 16:00 | Prof. Ann John (Swansea University) |
How do my feelings become numbers? | |
| 16:30 | After talks discussion | ||
| 2020.03.19 | 15:00 | Introduction | |
| 15:30 | Dr. Vasilisa Skvortsova (Max Planck UCL Centre) |
Computational noise at the origin of behavioral variability in healthy brain and disease | |
| 16:00 | Prof. Rafael A. Calvo (Imperial College London) |
Responsible Health Technology | |
| 16:30 | After talks discussion | ||
| 2020.02.27 | 15:00 | Introduction | |
| 15:30 | Dr. Richard Bethlehem (University of Cambridge) |
Typical and Atypical Brain Development: What Is Normal | |
| 16:00 | Dr. Fasih Haider (University of Edinburgh) |
Privacy Based Acoustic Data Collection System for Mental Health Monitoring | |
| 16:30 | After talks discussion | ||
| 2020.01.30 | 15:00 | Introduction | |
| 15:30 | Georgia Aitkenhead (Alan Turing Institute) |
Participatory Science to Empower: Building a Citizen Science Platform | |
| 16:00 | Dr. Julia Ive (Imperial College London) |
Towards Shareable Data in Clinical Natural Language Processing: Generating Synthetic Electronic Health Records | |
| 16:30 | After talks discussion |
2018-2019
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2019.12.19 | 15:30 | Introduction | |
| 15:45 | Dr. Paul Moore (University of Oxford) |
Automatic validation for facial expression synthesis | |
| 16:30 | After talks discussion | ||
| 2019.11.14 | 15:15 | Introduction | |
| 15:30 | Dr. Sarah Morgan (University of Cambridge) |
What can MRI brain imaging and patients’ speech tell us about schizophrenia? | |
| 16:30 | After talks discussion | ||
| 2019.10.10 | 15:00 | Introduction | |
| 15:30 | Marzia Scelsi (UCL) |
The genetics of dementia progression and heterogeneity | |
| 16:00 | Dr. Maxime Taquet (University of Oxford) |
Seeking markers of mental illness: from microstructure imaging to digital phenotyping | |
| 16:30 | After talks discussion | ||
| 2019.09.19 | 15:00 | Introduction | |
| 15:30 | Dr. Neil Oxtoby (UCL) |
Intro to Data-Driven Disease Progression Modelling | |
| 16:00 | Dr. Alexandra Young (UCL) |
Data-driven modelling of disease subtypes and their progression | |
| 16:30 | After talks discussion | ||
| 2019.07.11 | 15:30 | Introduction | |
| 16:00 | James Morrill (University of Oxford) |
Improved extraction of information from physiological time-series data, with application to stress detection | |
| 16:30 | Ang Li (Alan Turing Institute) |
Building clinically useful biomarkers in Psychiatry: Is neuroimaging a promising tool? | |
| 17:00 | After talks discussion | ||
| 2019.06.20 | 15:00 | Introduction | |
| 15:30 | Dr. Liu Shi (University of Oxford) |
Blood Proteomic Biomarkers for Alzheimer's Disease | |
| 16:00 | Dr. Sara Ahmadi-Abhari (Imperial College London) |
Forecasting trends in prevalence of dementia and disability in five European countries to 2050 and estimating the impact of public health interventions: a Markov modelling study | |
| 16:30 | After talks discussion | ||
| 2019.05.23 | 15:00 | Introduction | |
| 15:30 | Natasha Clarke (St George's, University of London) |
Digital Discourse as Clinical Data: Investigating Spoken and Written Language in Alzheimer’s Disease Using Natural Language Processing | |
| 16:00 | Prof. Lefkos T. Middleton (Imperial College London) |
Alzheimer’s disease and other late onset dementias. A world-wide challenge for the 21st century and beyond | |
| 16:30 | After talks discussion | ||
| 2019.04.18 | 15:00 | Introduction | |
| 15:30 | Imanol Pérez Arribas (University of Oxford) |
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder | |
| 16:00 | Prof. Stephen Friend (University of Oxford, 4YouandMe) |
One clinician’s musings on what might be the known unknowns, and unknown unknowns in using wearables to forecast symptom transitions | |
| 16:30 | After talks discussion | ||
| 2019.03.14 | 15:00 | Introduction | |
| 15:30 | Prof. David Llewellyn (University of Exeter) |
Enhancing the prevention, treatment and diagnosis of dementia with data science and AI | |
| 16:00 | Prof. Robert Stewart (King's College London) |
Natural language processing to support research in mental healthcare records – the CRIS experience | |
| 16:30 | After talks discussion | ||
| 2019.02.07 | 15:00 | Introduction | |
| 15:30 | Dr. Francesca Cormack (Cambridge Cognition) |
Digital technology for mental health research | |
| 16:00 | Dr. Tanya Smith (University of Oxford) |
UK-Clinical Record Interactive Search (CRIS) – Accelerating mental health research using real world healthcare data | |
| 16:30 | After talks discussion | ||
| 2018.11.21 | 15:00 | Introduction | |
| 16:30 | Dr. Alejo Nevado-Holgado (University of Oxford) |
Talk about the MRC Pathfinder project | |
| 17:00 | After talks discussion |