MLFPM ITN
@MLFPM_ITN
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H2020 MSCA Initial Training Network "Machine Learning Frontiers in Precision Medicine" (Grant Agreement No 813533.) 🇪🇺
Joined April 2019
Congratulations, @pradeeperanti, on your nomination! 👏.
📢Election for @iscb-@iscbsc leadership is open; be sure to cast your vote!. I'm so grateful for being nominated as a candidate for @iscbsc chair by the community for my involvement in SC & RSG activities intended for Students & ECRs development☺🙌🏾. #ISMB2024 #Bioinformatics 1/2.
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RT @xdopazo: Still one week to submit your abstract to the #SyntheticPatient challenge in the @CAMDA_conf @ISMBinfo About 1 million synthet….
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RT @kristafischer16: .Tartu Conference on Multivariate Statistics: June 25-28th, 2024. Early bird registration de….
tartumvs2024.ut.ee
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RT @ETH_BSSE: Full house at Personalised Health Conference | On 13- 14 March, keynote speakers Adrian Egli @AppliedMicrobi2, @Slack1Emma, @….
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The last short talk session was closed by @EmeseSukei talking about “Multi-modal Strategies Enhancing Mobility Impairment Predictions through Digital Biomarkers and Socio-demographics”
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And we have already moved on to @NdMaguetteMb: „Multimodal BEHRT: Transformers for Multimodal Electronical Health Records to predict breast cancer prognosis“
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The next #MLFPM fellow presenting today is Giovanni Visonà: “Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information”
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RT @kristafischer16: Interested in multivariate statistics? Welcome to Tartu in June 25-28, to the 11th Tartu Conference on Multivariate S….
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Register now for our 'Personalised Health Conference' on March 13 and 14 at @ETH_BSSE . Keynote speakers are Adrian Egli (@AppliedMicrobi2), @Slack1Emma and @jacquesfellay .
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RT @xdopazo: As an appetizer of what will be the challenges of the next @CAMDA_conf : The Synthetic Patient - Predicting Health Trajectorie….
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📢New #MLFPM publication:. Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study. By @EmeseSukei, @aar_2009 .
formative.jmir.org
Background: Functional limitations are associated with poor clinical outcomes, higher mortality, and disability rates, especially in older adults. Continuous assessment of patients’ functionality is...
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📢New #MLFPM publication by Giovanni Visionà and colleagues:. "Machine-Learning-Aided Prediction Of Brain Metastases Development In Non-Small Cell Lung Cancers.". @ClinicalLung.
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RT @MSCActions: We are looking for #MSCA fellows to take part in the next edition of #ScienceIsWonderful!. On 25 & 26 April in Brussels, yo….
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RT @xdopazo: There’s still time to attend (in-person or virtually via Zoom) MAQC 2023 next week (Sept 10-11) in Helsinki, Finland. Main top….
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📢New #MLFPM publication!.
📢 Exciting News! 📚 Our article on AI-driven patient functionality monitoring using #digitalphenotyping is finally out! 🌐Discover how we harness multimodal data for accurate evaluations📊. Read on ScienceDirect:
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Our beloved DeepOF is finally out! A Python package to detect behaviors in both supervised and unsupervised ways, with thorough docs and tutorials. It's been a pleasure to share this journey with @joeribordes, @MathiasVSchmidt, Bertram Müller-Myhsok, and many others!.
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