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X-WR-CALDESC:Events for DEMENTIA RESEARCHER
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DTSTART:20260329T010000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260808T133210
CREATED:20260422T174133Z
LAST-MODIFIED:20260422T174133Z
UID:10002199-1789430400-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Mendelian Randomisation Training Course
DESCRIPTION:Join us for a three-day\, in-person course on Mendelian randomisation at University College London from 15th-17th September 2026. \nRunning for the third year\, this course introduces some of the theory and most widely used tools for MR\, and how to apply these methods to real research questions. The course will cover one-sample and two-sample approaches\, sensitivity analyses including pleiotropy-robust methods\, multivariable MR for mediation and interaction analyses\, within-family MR\, MR-PheWAS and drug target MR. Each method will be explained with accompanying practicals to give participants hands-on experience designing\, running\, interpreting\, and reporting MR studies. \nLocation: Wolfson Centre\, Bloomsbury.\nTutors: Dr Emma Anderson\, Dr Dylan Williams & Professor Neil Davies\, University College London\nGuest lecturer: Dr Eleanor Sanderson\, University of Bristol \nFeedback from previous years: \n“The entire course was excellent. Lots of helpful information\, engaging content\, very helpful and detailed practicals.”\n“The course leaders were all super helpful\, very kind and very knowledgeable – it was a great atmosphere.”\n“I was new to MR so it was very good experience to learn the basic concepts and appreciate the complexities as well.”\n“I thought the course was really engaging and interactive. It was nice that the group was relatively small. Teachers were motivated and very helpful.” \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/mendelian-randomisation-training-course/
LOCATION:West Midlands
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://www.dementiaresearcher.nihr.ac.uk/wp-content/uploads/2026/01/UCL-Logo-2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260808T133210
CREATED:20260701T215326Z
LAST-MODIFIED:20260701T215326Z
UID:10002304-1789430400-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Introduction to Deep Learning - Online
DESCRIPTION:This is a hands-on introduction to the first steps in Deep Learning\, intended for researchers who are familiar with (non-deep) Machine Learning.  This introduction aims to cover the basics of Deep Learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. \nThe course covers:  \n\nWhat is deep learning?\nClassification by a neural network using Keras\nMonitor the training progress\nAdvanced layer types\nReal world application\n\nLearning Outcomes: \nIntroduction  \n\nDefine deep learning\nDescribe how a neural network is build up\nExplain the operations performed by a single neuron\nDescribe what a loss function is\nRecall the sort of problems for which deep learning is a useful tool\nList some of the available tools for deep learning\nRecall the steps of a deep learning workflow\nTest that you have correctly installed the Keras\, Seaborn and scikit-learn libraries\nUse the deep learning workflow to structure the notebook\n\nClassification by a neural network using Keras \n\nExplore the dataset using pandas and seaborn\nIdentify the inputs and outputs of a deep neural network.\nUse one-hot encoding to prepare data for classification in Keras\nDescribe a fully connected layer\nImplement a fully connected layer with Keras\nUse Keras to train a small fully connected network on prepared data\nInterpret the loss curve of the training process\nUse a confusion matrix to measure the trained networks’ performance on a test set\n\nMonitor the training process \n\nExplain the importance of keeping your test set clean\, by validating on the validation set instead of the test set\nUse the data splits to plot the training process\nExplain how optimization works\nDesign a neural network for a regression task\nMeasure the performance of your deep neural network\nInterpret the training plots to recognize overfitting\nUse normalization as preparation step for deep learning\nImplement basic strategies to prevent overfitting\n\nAdvanced layer types \n\nUnderstand why convolutional and pooling layers are useful for image data\nImplement a convolutional neural network on an image dataset\nUse a dropout layer to prevent overfitting\nBe able to tune the hyperparameters of a Keras model\n\nTransfer learning \n\nAdapt a state-of-the-art pre-trained network to your own dataset\n\nOutlook \n\nUnderstand that what we learned in this course can be applied to real-world problems\nUse best practices for organising a deep learning project\nIdentify next steps to take after this course\n\nPre-requisites: \nLearners are expected to have the following knowledge: \n\nBasic Python programming skills and familiarity with the Pandas package.\nBasic knowledge on machine learning\, including the following concepts: Data cleaning\, train & test split\, type of problems (regression\, classification)\, overfitting & underfitting\, metrics (accuracy\, recall\, etc.).\n\nSetup Instructions \nPlease follow the setup instructions here: https://carpentries-lab.github.io/deep-learning-intro/index.html#software-setup \nNote that software installation can take some time.  Please set up your python environment at least a day in advance of the workshop. If you encounter problems with the installation procedure\, ask your workshop organizers via email for assistance so you are ready to go as soon as the workshop begins. \nProgramme \n\nWhat is deep learning?\nClassification by a neural network using Keras\nMonitor the training progress\nAdvanced layer types\nReal world application\n\nThis course is taking place on 15-17 September from 09:00 – 17:00. \n\nCost: \nThe fee is: \n• £60 per day for students registered at university\n• £150 per day for staff at academic institutions\, Research Councils researchers\, public sector staff and staff at registered charity organisations and recognised research institutions\n• £350 per day for all other participants. \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of its cancellation of a course\, including but not limited to any travel or accommodation costs. \nThe University of Southampton’s Online Store T&Cs also continue to apply. \nWebsite and registration: \nRegister for this course
URL:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-deep-learning-online/
LOCATION:West Midlands
CATEGORIES:Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260918
DTSTAMP:20260808T133210
CREATED:20260220T180032Z
LAST-MODIFIED:20260218T120003Z
UID:10002116-1789516800-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:NIHR School for Social Care Research Annual Conference
DESCRIPTION:Conference theme: Collaboration\, connection and community  \nWe are delighted to confirm that the next NIHR School for Social Care Research (SSCR) Annual Conference will be held in Bristol in September 2026. \nFollowing on from last year’s conference in York\, this conference will once again bring together researchers and a broad range of key partners\, collaborators and people with lived/ living experience to share evidence and on-going research in social care practice. The conference provides a valuable opportunity to network and hear about leading social care research including SSCR’s commissioned studies and the broader NIHR programme offer. \n\nDates and venue \n\nWednesday 16 and Thursday 17 September 2026\nWe The Curious\, One Millennium Square\, Anchor Road\, Bristol\, BS1 5DB\nVenue website\n\n\nCall for abstracts \nAbstract submissions for consideration are welcomed from across the full breadth of social care research and eligibility to submit is not limited to researchers/ institutions who are members of the current phase of the School. \nAbstracts from researchers at all career stages (including PhD students) are encouraged\, as are submissions from across the Three Schools programmes where significant social care elements are evident. We especially welcome abstracts for oral presentations which – where appropriate – would be co-presented with public and/ or practice partners. \nAll submissions will be peer reviewed and selected for oral presentation (15 mins\, plus time for Q&A)\, lightning talk (5 mins\, max five slides\, plus time for Q&A) or poster presentation. \n\nHow to submit your abstract for review\nAbstracts should be submitted via the online abstract submission form. \nIf for any reason you cannot access or complete the online form\, please download/ complete this Word version and submit it via email to sscr@york.ac.uk before the deadline. \n\n\nWhat are the reviewers looking for?\nPeer review will take account of: \n\nQuality and rigour\nRelevance to the conference title and theme\nOriginality and creativity of the approach\nStage of the research\nThe impact (potential or realised) of the study on social care policy\, practice and services\nThe impact (potential or realised) on people accessing care services\, their families and carers\n\n\nKey dates \n\nCall for abstracts opens – 11 February 2026\nCall closes – 30 April 2026 (17:00 GMT)\nAcceptance notifications – w/c 1 June 2026\nSubmission deadline for presentations/ posters\, if abstract accepted: 31 July 2026\n\n\nProgramme and registration \nThe outline programme will be published along with the general registration link in March 2026. \nThis event is free to attend and places are limited so please save the dates in your diary and book early when the registration link is circulated to avoid disappointment. \nTo receive the registration link directly to your inbox when it goes live\, please sign up to the SSCR mailing list. \nAny questions? Please contact us at sscr@york.ac.uk and we’ll get back to you.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/nihr-school-for-social-care-research-annual-conference/
LOCATION:We The Curious\, One Millennium Square\, Anchor Road\, Bristol\, BS1 5DB\, United Kingdom
CATEGORIES:Conference
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ORGANIZER;CN="NIHR School for Social Care Research":MAILTO:sscr@lse.ac.uk
GEO:51.449795;-2.6004516
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260918
DTSTAMP:20260808T133210
CREATED:20260803T120837Z
LAST-MODIFIED:20260803T120837Z
UID:10002341-1789516800-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:The 2026 National Alzheimer's Virtual Summit
DESCRIPTION:The 2026 National Alzheimer’s Virtual Summit \nWednesday\, September 16th – Time TBD\nThursday\, September 17th – Time TBD \nThe Time is Now: Advocating Alzheimer’s Policy for Every Generation \nStay tuned – more details coming soon! \n\n\nPremier Sponsors: Biogen\, Johnson & Johnson\nPlatinum Sponsors: Eisai\, Genentech\nGold Sponsor: Roche Diagnostics\nSilver Sponsor: High Lantern Group \n\n\nUsAgainstAlzheimer’s exists to conquer Alzheimer’s disease\, the sixth leading killer in America. Our work centres on prevention\, early detection and diagnosis\, and access to treatments – all regardless of gender\, race\, or ethnicity. To achieve our mission\, we give voice to patients and caregivers while partnering with government\, scientists\, the private sector\, and allied organisations — the people who put the Us in UsAgainstAlzheimer’s. \n\nFor more information\, visit www.usagainstalzheimers.org
URL:https://www.dementiaresearcher.nihr.ac.uk/event/the-2026-national-alzheimers-virtual-summit/
LOCATION:Online\, United Kingdom
CATEGORIES:Summit
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260919
DTSTAMP:20260808T133210
CREATED:20260209T160042Z
LAST-MODIFIED:20260209T160042Z
UID:10002092-1789516800-1789775999@www.dementiaresearcher.nihr.ac.uk
SUMMARY:1st German Fish Model Research Meeting
DESCRIPTION:Welcome to the inaugural German Fish Model Research Meeting\, a unique gathering that unites both the German and international research communities dedicated to using fish models such as zebrafish\, cavefish\, killifish\, medaka etc. \nThis event aims to foster collaboration\, share innovative ideas\, and advance our understanding of fish biology and its applications in. Join us for insightful discussions\, networking opportunities\, and a chance to connect with fellow researchers passionate about fish as model organisms. We look forward to seeing you there! \nhttps://www.germanfishmeeting.org/
URL:https://www.dementiaresearcher.nihr.ac.uk/event/1st-german-fish-model-research-meeting/
LOCATION:University of Heidelberg\, Grabengasse 1\, Heidelberg\, 69117\, Germany
CATEGORIES:Conference
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GEO:49.4112774;8.7061792
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=University of Heidelberg Grabengasse 1 Heidelberg 69117 Germany;X-APPLE-RADIUS=500;X-TITLE=Grabengasse 1:geo:8.7061792,49.4112774
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260919
DTSTAMP:20260808T133210
CREATED:20260727T193331Z
LAST-MODIFIED:20260727T193414Z
UID:10002332-1789516800-1789775999@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Genomics of Brain Disorders
DESCRIPTION:We are pleased to announce the 5th conference on the Genomics of Brain Disorders. \nThis meeting will bring together international scientists and clinicians working across psychiatric\, neurodegenerative\, and neurodevelopmental disorders to explore how genetic variation shapes brain function and disease across the lifespan. By integrating perspectives from diverse disease areas\, the conference aims to identify shared principles and emerging insights across brain disorders. \nRecent advances in human genetics\, functional genomics\, and experimental modelling have transformed our understanding of the genetic architecture of brain disorders. Large-scale association studies\, sequencing efforts\, and multi-omic approaches are now revealing when and where genetic risk acts\, and how it converges on molecular pathways\, cell types\, and circuits in the healthy and diseased brain. \nThe programme will highlight these advances by discussing how to move from genetic discoveries to disease insight and by showcasing new tools and technologies to decode brain disorders. Sessions will also address applications to patient stratification and clinical trials\, as well as the translation of genetic findings into high-quality therapeutic targets. Together\, these discussions will explore how genomics is reshaping our understanding of brain disorders and accelerating the path from discovery to clinical impact. \nThe conference will feature invited talks from world-leading experts\, short talks and posters selected from abstracts\, and interactive networking sessions designed to spark discussion and foster new collaborations. \n\nRegistration deadline: 18 August (in person) | 8 September 2026 (virtual) \nAll deadlines are at 11:59 pm (UK time).
URL:https://www.dementiaresearcher.nihr.ac.uk/event/genomics-of-brain-disorders-2/
LOCATION:Wellcome Genome Campus\, Hixton\, Saffron Walden\, CB10 1SA
CATEGORIES:Conference
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GEO:52.0790219;0.1821328
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Wellcome Genome Campus Hixton Saffron Walden CB10 1SA;X-APPLE-RADIUS=500;X-TITLE=Hixton:geo:0.1821328,52.0790219
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260917
DTEND;VALUE=DATE:20260918
DTSTAMP:20260808T133210
CREATED:20260503T070030Z
LAST-MODIFIED:20260503T091133Z
UID:10002072-1789603200-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Alzheimer's Society Annual Conference
DESCRIPTION:The Alzheimer’s Society Annual Conference 2026 will take place on Thursday 17 September 2026. The conference will be delivered in a hybrid format\, with options to attend in person at Convene\, 155 Bishopsgate\, London\, or to join online. \nThe event will bring together health and social care leaders\, policy makers\, campaigners\, researchers\, and people with lived experience at a key moment for dementia in the UK. \nDementia remains the UK’s leading cause of death and continues to affect individuals\, families\, and communities nationwide. \nWith significant developments underway\, 2026 presents an important opportunity to strengthen how dementia is prioritised across systems and services. Decisions made during this period will influence diagnosis\, care\, and support in the years ahead. \nThe conference will examine how evidence\, innovation\, and lived experience can be translated into practical policy change\, improved services\, and better outcomes for everyone affected by dementia. \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/alzheimers-society-annual-conference-2/
LOCATION:Convene\, Convene\, 155 Bishopsgate\, London\, Greater London\, EC2N 4BQ\, United Kingdom
CATEGORIES:Conference
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GEO:51.5185888;-0.0798112
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Convene Convene 155 Bishopsgate London Greater London EC2N 4BQ United Kingdom;X-APPLE-RADIUS=500;X-TITLE=Convene\, 155 Bishopsgate:geo:-0.0798112,51.5185888
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