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BEGIN:VEVENT
SUMMARY:Understanding determinants of health inequalities in respiratory m
 edicine - Professor Jennifer Quint (Imperial College London)\, Dr Hannah W
 hittaker (Imperial College London)
DTSTART;VALUE=DATE-TIME:20251117T140000Z
DTEND;VALUE=DATE-TIME:20251117T150000Z
UID:https://talks.ox.ac.uk/talks/id/580bcf29-0b90-4acc-ae9c-3368ac8df9b2/
DESCRIPTION:HDRUK Oxford Monthly Meetup\, Monday 17 November 2025\, 2:00 p
 m – 3:00 pm\n\nSpeakers:\n1) Professor Jennifer Quint\, Professor of Res
 piratory Epidemiology\, Imperial College London\n2) Dr Hannah Whittaker\, 
 Research Fellow\, Imperial College London\n\nMode: Hybrid\nIn person venue
 : St Luke's Chapel\, Radcliffe Observatory Quarter\, Woodstock Road\, Oxfo
 rd\, OX2 6GG\nTo attend online – please register (link below)\n\nShort B
 io:\n1) Professor Quint is a Professor of Respiratory Epidemiology in the 
 School of Public Health at Imperial College London. She is an Honorary Con
 sultant Physician in Respiratory Medicine at both the Royal Brompton Hospi
 tal and Imperial College London NHS Trust. She leads the Respiratory Elect
 ronic Health Record group\, a clinical epidemiology research group whose i
 nterests centre on using various sources of de-identified\, routinely coll
 ected electronic healthcare records to study a number of respiratory disea
 ses including chronic obstructive pulmonary disease (COPD)\, asthma\, inte
 rstitial lung disease\, bronchiectasis and most recently COVID-19. Work ce
 ntres on maximising the quality\, linkage and usage of these data for clin
 ical and research purposes. Research topics include understanding the rela
 tionship between cardiovascular and respiratory disease\, respiratory dise
 ase prevention\, diagnosis\, natural history and management. Many of the o
 utputs are used for informing policy\, and in the planning and allocation 
 of resources. \n\n2) Dr Whittaker is a HDR UK funded early career research
  fellow in electronic healthcare records at the School of Public Health. H
 er work focuses on investigating inequalities in the burden of chronic res
 piratory diseases using electronic healthcare records. Hannah obtained her
  PhD in Epidemiology at NHLI\, Imperial College London\, which focused on 
 characteristics associated with lung function decline in Chronic Obstructi
 ve Pulmonary Disease patients using electronic healthcare records. She obt
 ained an MSc in Social Epidemiology from University College London and has
  a BSc (Hons) in Biomedical Sciences (Pharmacology) from the University of
  Edinburgh.\n\nSpeakers:\nProfessor Jennifer Quint (Imperial College Londo
 n)\, Dr Hannah Whittaker (Imperial College London)
LOCATION:St Luke's Chapel\, Woodstock Road OX2 6GG
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/580bcf29-0b90-4acc-ae9c-3368ac8df9b2/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Understanding determinants of health inequalities in resp
 iratory medicine - Professor Jennifer Quint (Imperial College London)\, Dr
  Hannah Whittaker (Imperial College London)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Streamlining randomised trials by re-using healthcare systems data
 : From theory to practice - Dr Charlie Harper (Oxford Population Health\, 
 University of Oxford)
DTSTART;VALUE=DATE-TIME:20251020T140000
DTEND;VALUE=DATE-TIME:20251020T150000
UID:https://talks.ox.ac.uk/talks/id/e6d221a2-786a-42bf-bff5-045697e984cd/
DESCRIPTION:HDRUK Oxford Monthly Meetup\, Monday 20 October 2025\, 2:00 pm
  – 3:00 pm\n\nSpeaker: Dr Charlie Harper\, Trial Data Scientist\, NDPH\n
 \nMode: Hybrid\nIn person venue: Richard Doll Building Lecture Theatre\nTo
  attend online – please register (link below)\n\nShort Bio:\nCharlie is 
 a Trial Data Scientist working in the Clinical Trial Service Unit & Epidem
 iological Studies Unit (CTSU) at Oxford Population Health and the Data Lin
 kage Lead for the ASCEND-PLUS trial. His work aims to develop new trial me
 thods to streamline large-scale randomised trials that produce reliable an
 swers\, including the use of healthcare systems data to recruit and follow
 -up participants. \n\nAbstract:\nLarge-scale randomised trials are increas
 ingly costly and resource intensive to conduct\, thus limiting the size an
 d duration of follow-up of contemporary clinical trials. Streamlining tria
 ls by re-using healthcare systems data offers the opportunity to conduct m
 ore efficient trials at scale. In this talk Charlie will (1) present the t
 heory behind utilising such data in clinical trials\, (2) outline recent f
 indings about how reliable healthcare systems data are in ascertaining tri
 al outcomes\; and (3) illustrate its use in the ASCEND-PLUS randomised tri
 al of semaglutide versus placebo in people with diabetes. \n\nSpeakers:\nD
 r Charlie Harper (Oxford Population Health\, University of Oxford)
LOCATION:Richard Doll Building (Lecture Theatre)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/e6d221a2-786a-42bf-bff5-045697e984cd/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Streamlining randomised trials by re-using healthcare sys
 tems data: From theory to practice - Dr Charlie Harper (Oxford Population 
 Health\, University of Oxford)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Theme: Using genetic data in biobanks to gain insights into genome
 -disease associations - Professor Peter Visscher (Oxford Population Health
 )\, Dr Siqi Wang (Oxford Population Health)
DTSTART;VALUE=DATE-TIME:20250519T140000
DTEND;VALUE=DATE-TIME:20250519T150000
UID:https://talks.ox.ac.uk/talks/id/8fb8a716-5f9e-4717-9280-3ecb72f172d4/
DESCRIPTION:\nStatus: This talk has been cancelled\nHDRUK Oxford Monthly M
 eetup\, Monday 19 May 2025\, 2:00 pm – 3:00 pm\n\nSpeakers:\n1) Professo
 r Peter Visscher\; Professor of Quantitative Genetics\, Oxford Population 
 Health\, University of Oxford\n2) Dr Siqi Wang\; Oxford Population Health\
 , University of Oxford\n\nTalk Description:\nThe availability of large bio
 banks with individual-level genomic\, exposure and outcome data allow rese
 archers to address questions about the causes and consequences of human co
 mplex trait variation. In two presentations\, we will highlight new discov
 eries on the association between genomes\, traits and diseases\, using mul
 tiple biobanks and data on hundreds of thousands of individuals.\n\nShort 
 Bios:\n1) Peter Visscher is a quantitative geneticist at the Nuffield Depa
 rtment of Population Health. His research is about a better understanding 
 of human trait variation in populations and the development of statistical
  analytical tools to analyse genotype-phenotype data in large biobanks.\n\
 n2) Siqi Wang is a postdoctoral researcher at the Nuffield Department of P
 opulation Health\, with expertise in epidemiology and the analysis of biob
 ank data.\n\nMode: Hybrid\nIn-person Venue – Richard Doll Lecture Theatr
 e\, Richard Doll Building\, Old Road Campus\, University of Oxford\nTo att
 end online - please register (link below)\n\nSpeakers:\nProfessor Peter Vi
 sscher (Oxford Population Health)\, Dr Siqi Wang (Oxford Population Health
 )
LOCATION:Richard Doll Building (Lecture Theatre)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/8fb8a716-5f9e-4717-9280-3ecb72f172d4/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Theme: Using genetic data in biobanks to gain insights in
 to genome-disease associations - Professor Peter Visscher (Oxford Populati
 on Health)\, Dr Siqi Wang (Oxford Population Health)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Can a wearable a day keep the questionnaire away? - Professor Aide
 n Doherty (Oxford Population Health)\, Mr. Charilaos Zisou (Oxford Populat
 ion Health)
DTSTART;VALUE=DATE-TIME:20250616T140000
DTEND;VALUE=DATE-TIME:20250616T150000
UID:https://talks.ox.ac.uk/talks/id/b586d895-4bdc-43a7-8f7d-6f1a9ffa412a/
DESCRIPTION:HDRUK Oxford Monthly Meetup\, Monday 16 June 2025\, 2:00 pm 
 – 3:00 pm\n\nSpeakers:\n1) Professor Aiden Doherty\; Professor of Biomed
 ical Informatics\, Oxford Population Health\, University of Oxford\n2) Mr.
  Charilaos Zisou\; Oxford Population Health\, University of Oxford\n\nAbst
 ract:\nSmartphones and wearable devices provide a major opportunity to tra
 nsform our understanding of the mechanisms\, determinants\, and consequenc
 es of diseases. For example\, around 9 in 10 people own a smartphone in th
 e United Kingdom\, while one-fifth of US adults own wearable technologies.
  This high level of device ownership means that many people could contribu
 te to health research from the comfort of their home by offering small amo
 unts of time to share data and help address health-related questions that 
 matter to them. A leading example is the seven day wrist-worn acceleromete
 r data measured in 100\,000 UK Biobank participants between 2013-2015 that
  has led to important new findings. These include discoveries of: new gene
 tic variants for sleep and activity\; small amounts of vigorous non-exerci
 se physical activity being associated with substantially lower mortality\;
  and no apparent upper threshold to the benefits of physical activity with
  respect to cardiovascular disease risk. However\, challenges exist around
  cost\, access\, validity\, and training. In this talk I will review progr
 ess made in this exciting new area of health data science and share opport
 unities to provide new insights into physical activity\, sleep\, heart rhy
 thms and other exposures relevant to health and disease.\n\nShort Bios:\n1
 ) Professor Doherty is a Wellcome Trust Senior Research Fellow and Profess
 or of Biomedical Informatics at the University of Oxford. His team of ~20 
 researchers develop reproducible methods to analyse wearable sensor data i
 n both clinical trials and very large health studies to better understand 
 the causes and consequences of disease. The team has played a key role in 
 the collection of wearable sensor data in over 150\,000 research participa
 nts across the UK and China as well as complementary open human activity r
 ecognition validation datasets to further enhance these resources. His tea
 m develops open software tools and data resources for machine learning met
 hods to measure sleep\, sedentary behaviour\, physical activity behaviours
  and steps.\n\n2) Mr. Zisou is a DPhil student in Population Health at the
  University of Oxford\, supported by the Oxford British Heart Foundation C
 entre for Research Excellence\, and also a Clarendon scholar. His research
  focuses on investigating the genetic factors influencing device-measured 
 physical activity and their impact on cardiovascular disease risk. To this
  end\, he leads the work of the ACTIGEN consortium\, an international coll
 aboration conducting a meta-analysis of genomic and wearable device data f
 rom over 200\,000 individuals across diverse populations.\n\nMode: Hybrid\
 nIn-person Venue – Richard Doll Lecture Theatre\, Richard Doll Building\
 , Old Road Campus\, University of Oxford\nTo attend online – please regi
 ster (link below)\nSpeakers:\nProfessor Aiden Doherty (Oxford Population H
 ealth)\, Mr. Charilaos Zisou (Oxford Population Health)
LOCATION:Lecture Theatre
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/b586d895-4bdc-43a7-8f7d-6f1a9ffa412a/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Can a wearable a day keep the questionnaire away? - Profe
 ssor Aiden Doherty (Oxford Population Health)\, Mr. Charilaos Zisou (Oxfor
 d Population Health)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:A very good example of why external validation is important: stra
 tifying cancer risk in patients with unexpected weight loss. - Associate P
 rofessor Brian Nicholson (Primary Care Health Sciences)\, Dr Pradeep Virde
 e (Primary Care Health Sciences)
DTSTART;VALUE=DATE-TIME:20250317T140000Z
DTEND;VALUE=DATE-TIME:20250317T150000Z
UID:https://talks.ox.ac.uk/talks/id/e07eb7dc-e8c5-4f8c-af1f-e18501dd8b0f/
DESCRIPTION:\nStatus: This talk has been cancelled\nHDRUK Oxford Monthly M
 eetup\, Monday 17 March 2025\, 2:00 pm – 3:00 pm\n\nSpeakers: \n1) Assoc
 iate Professor Brian Nicholson\; Nuffield Department of Primary Care Healt
 h Sciences\, University of Oxford\n2) Dr. Pradeep Virdee\; Senior Medical 
 Statistician\, Nuffield Department of Primary Care Health Sciences\, Unive
 rsity of Oxford\n\nTime: 2:00 pm – 3:00 pm\n\nMode: Hybrid\nIn person ve
 nue: Richard Doll Building Lecture Theatre\nTo attend online: please regis
 ter (link below)\n\nTalk Description:\nIn this session\, they will describ
 e the unanticipated outcome of an external validation of three models deve
 loped to stratify cancer risk in patients attending their GP with unexpect
 ed weight loss\, and the events that followed.\n \nShort Bios:\nBrian is a
 n NHS GP and Associate Professor of Primary Care based at the Nuffield Dep
 artment of Primary Care Health Sciences\, where he leads the Cancer Theme 
 which works to improve cancer diagnosis in people with symptoms. Their wor
 k involves the integration of health records data analysis\, implementatio
 n science\, and prospective clinical studies.\n\nPradeep is a Senior Stati
 stician based at the Nuffield Department of Primary Care Health Sciences. 
 His expertise include the analysis of large-scale cancer diagnostic studie
 s using electronic health record data. His particular interests include th
 e use of repeated measures data for enhancing cancer risk stratification i
 n primary care.\n\nSpeakers:\nAssociate Professor Brian Nicholson (Primary
  Care Health Sciences)\, Dr Pradeep Virdee (Primary Care Health Sciences)
LOCATION:Richard Doll Building (Lecture theatre)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/e07eb7dc-e8c5-4f8c-af1f-e18501dd8b0f/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:A very good example of why external validation is importa
 nt: stratifying cancer risk in patients with unexpected weight loss. - As
 sociate Professor Brian Nicholson (Primary Care Health Sciences)\, Dr Prad
 eep Virdee (Primary Care Health Sciences)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Theme: Granular Ethnicity and Environment Data: Bridging Gaps in H
 ealth Research - Associate Professor Sara Khalid (NDORMS)\, Dr Marta Pined
 a-Moncusi (NDORMS)\, Dr Qingze Gu (NDORMS)
DTSTART;VALUE=DATE-TIME:20250428T140000
DTEND;VALUE=DATE-TIME:20250428T150000
UID:https://talks.ox.ac.uk/talks/id/04498b9f-5090-4c05-9185-a16039518725/
DESCRIPTION:HDRUK Oxford Monthly Meetup\, Monday 28th April 2025\, 2:00 pm
  – 3:00 pm\n\nSpeaker(s): Associate Professor Sara Khalid\, Dr. Marta Pi
 neda-Moncusi and Dr. Qingze Gu\n\nTime: 14:00 – 15:00\nMode: Hybrid\no I
 n-person – Richard Doll Building\, Lecture theatre\no Online – please 
 register (link below)\n\n-------------------------------------------------
 --------------------------------------------------------------------------
 -------------------------\nOpening Remarks:\n\nAssociate Professor Sara Kh
 alid\, NDORMS\, University of Oxford\n\nShort Bio: Professor Sara Khalid i
 s an Associate Professor of Health Informatics and Biomedical Data Science
 s. She is Head of the Planetary Health Informatics Lab and Machine Learnin
 g Lead at the Centre for Statistics in Medicine\, NDORMS. \n\nSara’s res
 earch applies artificial intelligence to international real-world health a
 nd environment data\, in order to further our understanding of disease and
  fills the gaps in global health\, leveraging common data models and feder
 ated network analytics.\n\n-----------------------------------------------
 --------------------------------------------------------------------------
 ---------------------------\nSpeakers:\n\n1. Dr. Marta Pineda-Moncusi\, ND
 ORMS\, University of Oxford\n\nTitle: ‘The purpose and value of capturin
 g ethnicity data in research’.\n \nAbstract: The lack of representation 
 in research data results in biased outcomes that predominantly reflect the
  health behaviours of the majoritarian population. This absence of diversi
 ty in datasets leads to inaccurate estimates for minority or less prevalen
 t groups\, which can have detrimental effects on their health outcomes. Et
 hnicity\, as a multifaceted concept\, encompasses many elements that are o
 ften not captured in electronic health records\, such as culture\, languag
 e or identity. Ethnicity can serve as important health determinants\, enab
 ling a more accurate representation of population diversity and fostering 
 more inclusive and equitable research practices. In this presentation\, we
  will examine the completeness\, coverage and granularity of ethnicity dat
 a available the Secure Data Environment of England\, the NHS England\, and
  show the impact of using different levels of granularity on the outcomes 
 of health studies.\n \nShort Bio: Dr Pineda-Moncusi is a Biotechnologist b
 y background and an Epidemiologist by training. She conducted her PhD in t
 he University of Barcelona and has been a Postdoc at Oxford for the last 4
  years\, where she been involved in multiple projects including musculoske
 letal conditions\, as well as inequities in COVID-19 outcomes across diffe
 rent ethnic groups in the UK\, characterising heavy menstrual bleeding and
  drugs shortages\, among others.\n\n--------------------------------------
 --------------------------------------------------------------------------
 ------------------------------------\n\n2. Dr. Qingze Gu\, NDORMS\, Univer
 sity of Oxford\n\nTitle: Unveiling Ethnic Disparities in Rare Cardiometabo
 lic Diseases: Insights from 58 Million Electronic Health Records\n\nAbstra
 ct: Rare cardiometabolic diseases (CVD/MBD) pose significant diagnostic an
 d management challenges\, compounded by intersectional disparities in heal
 thcare access and outcomes. Leveraging anonymised electronic health record
 s (EHRs) from over 58 million individuals in England\, this study characte
 rises the prevalence\, phenotypic diversity\, and ethnic disparities of ra
 re CVD/MBD across 250+ granular ethnicities. Initial results reveal over 1
  million individuals with 406 rare disease phenotypes\, categorised into c
 ardiovascular\, metabolic\, mixed\, and "other" subtypes. Ethnicity mappin
 g demonstrated stark variations: while 80% of the cohort identified as Whi
 te\, granular analysis of 19 NHS primary care categories and 489 SNOMED-CT
  codes uncovered distinct patterns. For example\, South Asian and Black Af
 rican subgroups exhibited higher cardiovascular rare disease burdens\, whe
 reas polymyalgia rheumatica disproportionately affected White British popu
 lations. These findings underscore the critical role of granular ethnicity
  data in identifying health disparities and tailoring care for marginalise
 d groups. \n\nShort Bio: Qingze Gu completed his DPhil in Clinical Medicin
 e at the Big Data Institute\, University of Oxford\, in October 2024. He i
 s a postdoctoral researcher working in the Planetary Health Informatics gr
 oup. With a multidisciplinary background in biomedical data science and ph
 armacology\, his research interest is in using routinely collected healthc
 are data to inform clinical decision-making.\n\nSpeakers:\nAssociate Profe
 ssor Sara Khalid (NDORMS)\, Dr Marta Pineda-Moncusi (NDORMS)\, Dr Qingze G
 u (NDORMS)
LOCATION:Richard Doll Building (Lecture Theatre)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/04498b9f-5090-4c05-9185-a16039518725/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Theme: Granular Ethnicity and Environment Data: Bridging 
 Gaps in Health Research - Associate Professor Sara Khalid (NDORMS)\, Dr Ma
 rta Pineda-Moncusi (NDORMS)\, Dr Qingze Gu (NDORMS)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Using Machine Learning\, Population Cohorts and Healthcare Data to
  Capture the Earliest Determinants of Disease and Aging - Professor Philip
  Awadalla (University of Oxford)
DTSTART;VALUE=DATE-TIME:20241104T140000Z
DTEND;VALUE=DATE-TIME:20241104T150000Z
UID:https://talks.ox.ac.uk/talks/id/42aa2f92-1601-4a3f-b308-27d79ec7b38a/
DESCRIPTION:HDRUK Oxford Monthly Meetups\, Monday 4 November 2024\, 2:00pm
  – 3:00pm\n\nSpeaker – Professor Philip Awadalla\; Professor and Senio
 r Researcher of Molecular Genetics\, University of Oxford\n\nVenue – Big
  Data Institute\, Seminar room 0\n\nBio:\nPhilip Awadalla is the Professor
  of Molecular Genetics at the Nuffield Department of Population Health\, a
 s well as the Big Data Institute at the University of Oxford. Philip also 
 serves as the National Scientific Director of CanPath (Canadian Partnershi
 p for Tomorrow’s Health). Previously\, he was a Professor at the Univers
 ity of Toronto\, and the University of Montreal Ste Justine Children’s H
 ospital where he was Director of the CARTaGENE cohort in Quebec. Philip an
 d his team have expertise in population genomics\, computational biology\,
  and epidemiology. The research focus of his team is on healthy aging\, ea
 rly cancer detection\, and the evolution of somatic mutations. \n\nAbstrac
 t:\nThe integration of machine learning with deeply characterized populati
 on cohorts has the potential to revolutionize our understanding of disease
  onset and the aging process. By leveraging multi-omic datasets\, health r
 ecords\, and longitudinal population studies\, we can identify novel bioma
 rkers and early determinants of chronic diseases\, cancer\, and age-relate
 d conditions. This presentation will outline a framework that combines AI 
 and machine learning with data from large cohort studies to model the earl
 iest molecular and environmental factors influencing disease and healthy a
 ging trajectories. I will discuss how these models enable the identificati
 on of at-risk individuals and potential interventions long before clinical
  manifestations\, paving the way for early detection and prevention strate
 gies. \n\nHybrid Option:\n\nPlease respect our speakers and do not share t
 he link with anyone outside of the University. The purpose of these semina
 rs is to foster more communication among employees working on Data science
 s throughout the University and outside\, so we strongly advise in-person 
 attendance whenever feasible.\n\nIf you wish to attend online\, please ema
 il hdroxford@bdi.ox.ac.uk\nSpeakers:\nProfessor Philip Awadalla (Universit
 y of Oxford)
LOCATION:Big Data Institute (Seminar room 0)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/42aa2f92-1601-4a3f-b308-27d79ec7b38a/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Using Machine Learning\, Population Cohorts and Healthcar
 e Data to Capture the Earliest Determinants of Disease and Aging - Profess
 or Philip Awadalla (University of Oxford)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Age\, aging and the proteome - Professor Cornelia van Duijn (Unive
 rsity of Oxford)
DTSTART;VALUE=DATE-TIME:20241007T140000
DTEND;VALUE=DATE-TIME:20241007T150000
UID:https://talks.ox.ac.uk/talks/id/85fcf51e-50de-4634-82c8-1c5141b94f95/
DESCRIPTION:HDRUK Oxford Monthly Meetups\, Monday 7 October 2024\, 2:00pm 
 - 3:00pm\n\nSpeaker - Professor Cornelia van Duijn\; Professor of Epidemio
 logy\, University of Oxford\n\n\nVenue - Big Data Institute\, Seminar room
  0 \n\nHybrid Option:\n\nPlease respect our speakers and do not share the 
 link with anyone outside of the University. The purpose of these seminars 
 is to foster more communication among employees working on Data sciences t
 hroughout the University and outside\, so we strongly advise in-person att
 endance whenever feasible.\n\nPlease register using the link below or emai
 l hdroxford@bdi.ox.ac.uk\n\n\nSpeakers:\nProfessor Cornelia van Duijn (Uni
 versity of Oxford)
LOCATION:Big Data Institute (Seminar room 0)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/85fcf51e-50de-4634-82c8-1c5141b94f95/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Age\, aging and the proteome - Professor Cornelia van Dui
 jn (University of Oxford)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY:Proteomics theme - Alexander Tinworth (University of Oxford)\, Dr.
  Lazaros Belbasis (University of Oxford)
DTSTART;VALUE=DATE-TIME:20250120T020000Z
DTEND;VALUE=DATE-TIME:20250120T030000Z
UID:https://talks.ox.ac.uk/talks/id/938f388b-eae9-4f72-a3a5-e6c6711ed266/
DESCRIPTION:HDRUK Oxford Monthly Community Meeting\, Monday 20 January 202
 5\, 2:00 pm – 3:00 pm\n\nSpeaker(s): Dr. Lazaros Belbasis and Alexander 
 Tinworth\n\nTime: 14:00 – 15:00\nMode: Hybrid\no In-person Venue – Ric
 hard Doll Building\, Lecture theatre\no To attend online – please regist
 er (link below)\n\n-------------------------------------------------------
 --------------------------------------------------------------------------
 ----------------------------------------------------\n\n1. Speaker: Dr. La
 zaros Belbasis\, Oxford Population Health\, University of Oxford\n\nTitle:
  Proteome-wide Mendelian randomization analysis highlights proteins involv
 ed into the pathogenesis of Alzheimer’s disease\n\nBio: Dr. Lazaros Belb
 asis is currently an Oxford BHF CRE Intermediate Transition Research Fello
 w at the Nuffield Department of Population Health (NDPH). His research foc
 uses on the integration of multi–omics data to identify biological mecha
 nisms and potential therapeutic targets for brain diseases. Prior joining 
 the NDPH\, Lazaros trained as a General Practitioner in Greece and underto
 ok a PhD in the epidemiology of neurodegenerative diseases. He joined the 
 Nuffield Department of Population Health after receiving an NDPH Early Car
 eer Research Fellowship.\n\nAbstract: Proteins play a key role in a range 
 of biological processes\, and their dysregulation can lead to the developm
 ent of diseases. High-throughput technologies have allowed the measurement
  of thousands of proteins in population biobanks. We aimed to identify pro
 teins related to Alzheimer’s disease (AD) by leveraging large-scale gene
 tic and proteomic data. We used Mendelian randomisation to test the associ
 ation of 3\,610 proteins with risk of AD. 78 of them were statistically si
 gnificant at 5% false discovery rate with 27 of them having additional sup
 port from Bayesian co-localization. Notably\, 8 out of 27 protein–diseas
 e associations (PRSS8\, C1S\, C1R\, SIRPA\, SIGLEC9\, ZBTB16\, PLOD2\, and
  CLN5) corresponded to genetic loci not previously reported by GWAS for AD
 . The newly-associated proteins indicated the involvement of complement\, 
 microglia\, and lysosomes in AD.\n\n————————————
 ————————————————————————
 ————————————————————————
 —-\n\n2. Speaker: Alexander Tinworth\, Oxford Population Health\, Univer
 sity of Oxford\n\nTitle: GDF15 and its receptors as pathways mediating smo
 king related weight change\n\nBio: After completing his BSc in Biomedical 
 Sciences in 2022\, Alex arrived in Oxford to complete an MSc in Global Hea
 lth Science and Epidemiology. It was here he learned of the expansive data
  collected on the human plasma proteome in individuals from both the UK Bi
 obank and the China Kadoorie Biobank\, and proposed\, after completion of 
 his MSc\, to undertake a DPhil in Population Health in investigating plasm
 a proteomic associations with cardiovascular diseases in diverse populatio
 ns. Early on in his DPhil journey\, he became interested in the protein\, 
 GDF15\, which will form the basis of his thesis as he explores its associa
 tions in observational and genetic settings with various diseases and trai
 ts\, including smoking.\n\nAbstract: Smokers have lower body weight while 
 smoking cessation results in weight gain through mechanisms that are not f
 ully understood. Plasma levels of GDF15\, a stress-responsive protein\, an
 d its two receptors (RET\, GFRAL)\, measured in 3936 Chinese adults (mean 
 BMI 24.0kg/m2)\, using Olink and SomaScan platforms\, were tested for asso
 ciations with smoking and adiposity. Smokers had lower BMI\, WC\, HC\, WHR
  and BF% levels than never-smokers. Smoking was positively associated with
  GDF15 and with GDF15/receptor ratios in both platforms. In two-sample MR 
 analyses\, daily smoking was positively associated with higher GDF15 level
 s. SomaScan_GDF15 partially mediated the associations of smoking with all 
 adiposity measures\, while Olink_GDF15 mediated associations with BF%. The
  GDF15/RET ratio explained a higher proportion of the smoking-adiposity as
 sociation than GDF15 alone in both platforms. The findings suggest that GD
 F15 may mediate smoking-related weight change\, and could be a therapeutic
  target to facilitate smoking cessation and minimise cessation-induced wei
 ght gain\nSpeakers:\nAlexander Tinworth (University of Oxford)\, Dr. Lazar
 os Belbasis (University of Oxford)
LOCATION:Richard Doll Building (Lecture theatre)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/938f388b-eae9-4f72-a3a5-e6c6711ed266/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Proteomics theme - Alexander Tinworth (University of Oxfo
 rd)\, Dr. Lazaros Belbasis (University of Oxford)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
BEGIN:VEVENT
SUMMARY: How early are the signs of Alzheimer’s disease manifested withi
 n speech? - Dr Chris Hinds (Big Data Institute)
DTSTART;VALUE=DATE-TIME:20250224T140000Z
DTEND;VALUE=DATE-TIME:20250224T150000Z
UID:https://talks.ox.ac.uk/talks/id/70023f96-c6ac-4c3f-a348-a02422a1714b/
DESCRIPTION:HDRUK Oxford Monthly Meetup\, Monday 24 February 2025\, 2:00 p
 m – 3:00 pm\n\nSpeaker: Dr Chris Hinds\, Robertson Foundation Fellow in 
 Digital Phenotyping\, NDPH\nTitle: How early are the signs of Alzheimer’
 s disease manifested within speech?\nTime: 2:00 pm - 3:00 pm \nMode: Hybri
 d\nIn person venue: Richard Doll Building Lecture Theater\nTo attend onlin
 e - please register (link below)\n\nAbstract: Speech and language changes 
 occur decades before the clinical diagnosis of Alzheimer's disease (AD). D
 igital tools for frequent speech assessments offer promise for early-stage
  AD trials\, yet uncertainties remain regarding remote speech collection f
 easibility and whether such changes begin early enough in the disease. We 
 collected 2003 speech samples from 159 RADAR-AD study participants (47 hea
 lthy\, 31 preclinical\, 49 prodromal\, and 32 mild-to-moderate AD) using t
 he Mezurio smartphone application's story narration task. CSF amyloid and 
 phosphorylated tau were assessed. The utility of speech features was evalu
 ated using linear mixed models and Machine Learning classifiers. High comp
 letion rates and good inter-correlation coefficients demonstrated feasibil
 ity. Speech features classified mild-to-moderate AD from healthy controls 
 with an accuracy of 0.90 and significant fluency changes were observed fro
 m prodromal AD onwards. Changes to articulation rate may begin in tau posi
 tive preclinical participants before overt cognitive difference appear\, b
 ut a larger biomarker-defined cohort would be needed for confirmation.\n\n
 Speakers:\nDr Chris Hinds (Big Data Institute)
LOCATION:Richard Doll Building (Lecture theatre)\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/70023f96-c6ac-4c3f-a348-a02422a1714b/
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DESCRIPTION:Talk: How early are the signs of Alzheimer’s disease manifes
 ted within speech? - Dr Chris Hinds (Big Data Institute)
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SUMMARY:Therapeutic Genomics: bringing therapies to rare genetic disorders
  - Professor Stephan Sanders (IDRM\, University of Oxford)
DTSTART;VALUE=DATE-TIME:20241202T143000Z
DTEND;VALUE=DATE-TIME:20241202T153000Z
UID:https://talks.ox.ac.uk/talks/id/18c8c4ea-9289-435d-957c-6e2e87410b69/
DESCRIPTION:HDRUK Oxford Monthly Community Meeting\, Monday 2 December 202
 4\, 2:30 pm - 3:30 pm\n\nSpeaker: Professor Stephan Sanders\; Professor of
  Paediatric Neurogenetics\, University of Oxford\n\nTime: 14:30 – 15:30\
 n\nMode: Hybrid\n- In-person Venue – Big Data Institute\, Seminar room 0
 \, University of Oxford\n- To attend online - please register (link below)
 \n\nBio:\nDr. Sanders trained as a paediatric physician in the UK before u
 ndertaking a PhD and Postdoctoral studies in genomics and bioinformatics a
 t Yale University. In 2014\, he started his lab at the University of Calif
 ornia\, San Francisco (UCSF) before moving to Oxford as a Professor of Pae
 diatric Neurogenetics in 2022. In 2019\, he was awarded the Theodore Reich
  Young Investigator Award by the International Society of Psychiatric Gene
 tics (ISPG) for his work on the genetics of neurodevelopmental disorders\,
  especially Autism Spectrum Disorder (ASD). He has published over 100 peer
 -reviewed papers\, which have been cited over 30\,000 times (h-index 65\, 
 top 1% in the field based on Web of Science). Dr. Sanders is a leader of t
 he Autism Sequence Consortium (ASC)\, a member of the ASC Executive Commit
 tee\, and co-leads the ASC whole-genome sequencing (WGS) working group wit
 h Dr. Talkowski and Devlin. By studying the distribution of rare and de no
 vo mutations\, the ASC has identified hundreds of genetic risk loci meetin
 g strict statistical criteria for association with ASD and neurodevelopmen
 tal delay (Fu et al. Nature Genetics 2022)\, including de novo loss-of-fun
 ction mutations in the sodium channel gene SCN2A. Integrating bulk and sin
 gle cell gene expression data\, these analyses have highlighted the role o
 f excitatory and inhibitory neurons in the developing cortex in ASD. The W
 GS working group aims to extend these approaches to understand the noncodi
 ng genome and developed the Category-Wide Association Study (CWAS) and de 
 novo risk score (DNRS) methods for WGS analysis that implicated promoter r
 egions in ASD (An et al. Science\, 2018) and\, in collaboration with Dr. F
 arh at Illumina\, the SpliceAI tool for detecting cryptic splice sites (Ja
 ganathan et al. Cell 2020). Working with Dr. Sestan at Yale\, and as a mem
 ber of the PsychENCODE consortium\, his work has assessed the impact of ra
 re and common variants on gene expression across development in the human 
 brain (Werling et al. Cell Reports 2020).\n\nSpeakers:\nProfessor Stephan 
 Sanders (IDRM\, University of Oxford)
LOCATION:Big Data Institute (Seminar room 0 )\, Old Road Campus OX3 7LF
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/18c8c4ea-9289-435d-957c-6e2e87410b69/
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DESCRIPTION:Talk:Therapeutic Genomics: bringing therapies to rare genetic 
 disorders - Professor Stephan Sanders (IDRM\, University of Oxford)
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