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#computational

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Center for Health Data Science

🔬✨Zooming In—One Cell at a Time!

The 5th Danish #Single-Cell #Symposium is coming to #Copenhagen, and it's THE place to be if you’re into all things single-cell!

Topics will include:
Advances in single-cell #genomics and #transcriptomics
#Computational approaches to #dataanalysis
Applications in health and disease

🗓️May 15–16
📍Hosted at Panum, UCPH
💡Scientists, students, and techies are all welcome!

🔗 Check it out: events.au.dk/5thdanishsingle-c

#SingleCell#ScienceInCopenhagen#LifeScience
Public
fabric | ch

Following this week announcement by curator Carlo Ratti (CRA-Carlo Ratti Associati), about the 2025 Venice Biennale of Architecture, we’re happy to announce that fabric | ch will take part to it.
We’ll post more until May about our contribution, among many voices, to this year’s “Intelligens. Natural. Artificial. Collective.” Biennale #fabricch #architecture #contemporary #planetary #intelligens #intelligence #computational #natural #material

labiennale.org/en/news/biennal

La Biennale di Venezia · Biennale Architettura 2025 | Biennale Architettura 2025: Intelligens. Natural. Artificial. Collective.The 19th International Architecture Exhibition will be open from Saturday 10 May to Sunday 23 November.
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RSC_CICAG

The FREE Hybrid Cambridge Cheminformatics Network Meetings are back! 19/02, 23/04, 03/09 & 12/11. Held on Zoom or in person at @ccdc_cambridge

Zoom registration for the 19th Feb: cam-ac-uk.zoom.us/meeting/regi

Details of future meetings can be found here: c-inf.net

ZoomWelcome! You are invited to join a meeting: Cambridge Cheminformatics Meeting, 19 February 2025. After registering, you will receive a confirmation email about joining the meeting.19 February 2025, 4pm UK time Hybrid mode: - in person at the CCDC, Union Road, Cambridge; please turn up a bit in advance to sign in - for participation via Zoom please register here Programme Identifying Novel Nanomolar A2A Receptor Ligands by Combining Docking and Reinforcement Learning Morgan Thomas, Universitat Pompeu Fabra https://github.com/MorganCThomas Reversible Molecular Simulation for Training Classical and Machine Learning Force Fields Joe Greener, LMB https://www2.mrc-lmb.cam.ac.uk/group-leaders/a-to-g/joe-greener A Whirlwind Tour of Gaussian Processes for Chemistry Austin Tripp, Valence Labs https://www.austintripp.ca ... followed by a visit to the Panton Arms, and a 'Global Cheminformatics Mixer' online! Please join us and circulate, Andreas
#compchem#Cheminformatics#chemistry
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Daniel Hoffmann 🥬

How do stress, exercise, breathing technique affect heartbeat and blood pressure? Interesting predictive computational model of several physiological circuits. journals.plos.org/ploscompbiol #computational #physiology

journals.plos.orgIn–silico simultaneous respiratory and circulatory measurement during voluntary breathing, exercise, and mental stress: A computational approachAuthor summary The impact of changes in physical or mental state on physiological parameters, such as heart rate and blood pressure, remains uncertain due to inter–individual variability and challenges in simultaneous measurements. We propose a novel computational model for predicting respiratory and circulatory responses to voluntary breathing, short–term exercise, or mental stress. We introduce specific parameters to account for involuntary or voluntary breathing and hyperventilation induced by short–term exercise. We modeled mental stress as an electrical input to the amygdala based on prior studies indicating that stress leads to amygdala hyperactivity. The model reproduced the respiratory and circulatory states during active or passive short–term exercises, voluntary breathing control, and mental stress loads. The proposed computational approach enables simultaneous and reasonable prediction of diverse physiological values, accounting for individual differences through specific parameters, during voluntary breathing, short–term exercise, or mental stress. This approach also enables substantial prediction of cognitive performance and states for mental and physical health through the physiological values and heart rate variability indices of total power spectral density and the ellipse area of Poincaré plot.
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Charité Berlin

Die Erforschung der Abwärtsspirale – Dr. Jochen Michely erhält Emmy Noether-Förderung zum Aufbau einer Arbeitsgruppe für seine Depressionsforschung. Mit Methoden der Computational Psychiatry untersucht der Psychiater von der #CharitéBerlin, wie Stimmung und Kognition sich beim Menschen auf neurobiologischer Ebene gegenseitig beeinflussen. Damit will er der Ursache von Depressionen näherkommen. Mehr dazu hier: charite.de/forschung/themen_fo
#depression #psychology #Computational #neurobiology

Psychiater Jochen Michely © Benno Zöllner
Public
beSpacific

A #computational #analysis of potential #algorithmic #bias on platform X during the 2024 US #election. This technical report presents findings from a two phase analysis investigating potential algorithmic bias in engagement metrics on X by examining Elon Musk’s account against a group of prominent users, subsequently comparing Republican-leaning versus Democrat-leaning accounts. Analysis reveals a structural engagement shift around mid-July 2024 eprints.qut.edu.au/253211/

eprints.qut.edu.auA computational analysis of potential algorithmic bias on platform X during the 2024 US election | QUT ePrintsGraham, Timothy & Andrejevic, Mark (2024) A computational analysis of potential algorithmic bias on platform X during the 2024 US election. [Working Paper] (Unpublished)
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Daniel Hoffmann 🥬

If you want to start your own research group in NRW (a state in Germany) the Return program ("Rückkehrprogramm") may be for you. For details follow the link below. In short: you have lived in Germany before, have spent some time abroad as postdoc, and you are doing / planning work in computational research (official topic: "future computing"). Deadline January 9, 2025. Please boost.

nrw-rueckkehrprogramm.ptj.de/

nrw-rueckkehrprogramm.ptj.deNRW-Rückkehrprogramm: Antragseinreichung
#nrw#computational#research
Public
Ecology & Evolution of Health

The final version of our #article on real-time #SarsCoV2 #monitoring in France in 2021 is now published at #PLoS #computational #biology

Thanks again to Corentin Boennec and Alex Massey for their enourmous work!

doi.org/10.1371/journal.pcbi.1

journals.plos.orgReal-time forecasting of COVID-19-related hospital strain in France using a non-Markovian mechanistic modelAuthor summary The US and European Covid-19 Forecast Hubs focus on metrics such as deaths, new cases, and hospital admissions, but do not offer measurements of hospital strain like critical care bed occupancy, which was essential for the provisioning of healthcare resources during the COVID-19 pandemic. Furthermore, forecasting support was only guaranteed on the national level leaving many countries to look elsewhere for valuable sub-national forecasts. In France statistical modelling approaches were proposed to anticipate hospital stain at the sub-national level but these were limited by a two-week forecast horizon. We present a sub-national French modelling framework and online application for anticipating hospital strain at the four-week horizon that can account for abrupt changes in key epidemiological parameters. It was the only publicly available real-time non-Markovian mechanistic model for the French epidemic when implemented in January 2021 and, to our knowledge, it still was at the time it stopped in early 2022. Further adaptations of this surveillance system can serve as an anticipation tool for hospital strain across sub-national localities to aid in the prevention of short-noticed ward closures and patient transfers.
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