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X-WR-CALDESC:Events for DEMENTIA RESEARCHER
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DTSTART:20260329T010000
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DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260915T043042
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/
CATEGORIES:Training
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LOCATION:https://www.dementiaresearcher.nihr.ac.uk/event/mendelian-randomisation-training-course/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260915T043042
CREATED:20260701T215326Z
LAST-MODIFIED:20260817T150021Z
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/
CATEGORIES:Training
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LOCATION:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-deep-learning-online/
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DTSTART;TZID=Europe/London:20260915T140000
DTEND;TZID=Europe/London:20260915T150000
DTSTAMP:20260915T043042
CREATED:20260804T200739Z
LAST-MODIFIED:20260804T200739Z
UID:10002344-1789480800-1789484400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:An Introduction to Fluid Biomarkers in Frontotemporal Dementia
DESCRIPTION:Join the next webinar in the ON-FIRE Conversations Series\, featuring Professor Charlotte Teunissen from Amsterdam University Medical Centre. \nProfessor Teunissen will provide an introduction to fluid biomarkers in frontotemporal dementia (FTD)\, examining their potential use within clinical practice and dementia research. The session will offer a useful overview for anyone interested in biomarkers\, neurology\, clinical research or FTD. \nThere will also be an opportunity for attendees to learn more about current developments in the field and their possible implications for the diagnosis and study of frontotemporal dementia. \nEvent details\nDate: Tuesday 15 September 2026Time: 14:00–15:00Location: Online via ZoomSpeaker: Professor Charlotte Teunissen\, Amsterdam University Medical CentrePresentation: An Introduction to Fluid Biomarkers in Frontotemporal Dementia (FTD) \nThe webinar is open to everyone\, including ON-FIRE collaborators\, researchers\, healthcare professionals\, students and anyone with an interest in dementia research. \nRegister for the webinar \nPlease check the registration page for confirmation of the event’s time zone.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/an-introduction-to-fluid-biomarkers-in-frontotemporal-dementia/
LOCATION:Online
CATEGORIES:Symposium
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ORGANIZER;CN="University of Cambridge":MAILTO:jmd205@cam.ac.uk
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DTSTART;TZID=Europe/London:20260915T140000
DTEND;TZID=Europe/London:20260915T150000
DTSTAMP:20260915T043042
CREATED:20260910T190611Z
LAST-MODIFIED:20260910T190611Z
UID:10002387-1789480800-1789484400@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Pitch Perfect - Driving Innovation in Dementia with Alzheimer's Society
DESCRIPTION:Pitch Perfect is a presentation event showcasing innovators from across the NHS InSites network – join the Alzheimer’s Society and NHS InSites for a special Dementia Pitch Perfect showcase featuring innovative solutions that are transforming dementia care and support. You’ll hear from four innovators who have been supported through the award-winning Alzheimer’s Society Accelerator Programme. Explore opportunities to learn\, collaborate and drive impact across health and care. \n\n\n\nPresenters confirmed: \n\nKneu Health – a pioneering continuous intelligence for neurological care\, using smartphone-based monitoring to support earlier detection and personalised care in dementia and Parkinson’s. ​Built on Oxford University research and FDA-cleared\, the Kneu platform is operational across leading health systems and NHS trusts. Kneu Health was on our Alzheimer’s Society Accelerator in 2025/2026.\n\n\nPunto Health – Punto Health is an AI-powered digital platform for dementia management. It acts as a post-diagnosis coordination platform\, focusing on personalised treatment and support\, and improved coordination and monitoring. Its three modules\, PuntoCare\, PuntoTest\, and PuntoClinic\, provide continuous support for patients and carers\, scalable cognitive assessment\, and clinical insights for professionals. Punto Care is the element we are supporting on our Accelerator Programme.\n6D Dementia (Frances Duffy was previously on CEP and now on our Accelerator Programme!) – 6D Dementia equips staff across health and social care and families with practical micro-skills and a shared framework to respond with empathy and consistency so that everyday interactions become therapeutic\, reducing crises\, admissions\, and antipsychotic use\, while supporting stable living arrangements\, promoting independence\, and strengthening the workforce and family network.\nJelly Drops – Jelly Drops are sugar-free (and vegan) sweets which are 95% water with added electrolytes and vitamins. Lewis was inspired to create water sweets after his grandma Pat\, who had dementia\, was struggling to hydrate. Testing Jelly Drops in a hospital setting is something the team are already exploring and would find it really valuable to have other opportunities like this\, particularly in looking at the links between hospital admissions and hydration.\n\nAbout the Session & the Alzheimer’s Society: \n\nPitch Perfect is a virtual showcase series hosted by the NHS InSites Hub team\, designed to highlight innovative healthcare solutions from across the NHS and nationally supported programmes. Each session features rapid-fire 3-minute pitches from NHS staff\, clinical entrepreneurs\, and startup founders\, followed by live Q&A and open discussion. The sessions foster cross-site collaboration\, peer learning\, and visibility for early-stage innovations\, helping accelerate the adoption of impactful ideas that address real-world challenges in care delivery.\n\n\nAlzheimer’s Society is the UK’s leading dementia charity. We give vital support to those who need it\, fund groundbreaking research and innovation\, and campaign to improve experiences. We’re here to ensure that the impact we make is felt in the day-to-day lives of people and families now and in the future. We’re leading the way to create a future where dementia no longer devastates lives\, bringing together people from all the spheres of life dementia touches\n\n\nDementia is the greatest health and social care challenge of our time. Almost one million people are living with dementia right now in the UK. By 2040\, that figure is expected to rise to 1.4m. It will take a society to beat dementia. ​Alzheimer’s Society has set an ambitious goal of stopping dementia from devastating lives by 2050. This cannot be achieved without innovation\, transforming the lives of people affected by dementia and the systems that support them.\n\n\nAt Alzheimer’s Society\, we identify\, support and invest in innovations and bring the best innovators and entrepreneurs into dementia. Our Innovation Programme and strategic partnerships support individuals and businesses throughout their innovation journey – from the earliest stage dementia product ideas through to market and implementation. ​To date\, we have supported over 80 products and innovations through our Innovation Programme\, which are providing help right now and hope for the future. These have reached more than 1.5 million people and have enabled our Innovation partners to generate more than £13.5million in follow-on funding. ​Through harnessing ground-breaking new technology and tackling the big underlying system challenges of diagnosis and access to treatments\, we can change the future for people affected by dementia. Find out more about dementia innovation at Alzheimer’s Society.\n\n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/pitch-perfect-driving-innovation-in-dementia-with-alzheimers-society/
LOCATION:Online
CATEGORIES:Online
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