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Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 

Ergebnis der Suche nach: "Machine Learning"



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Personen
Link zu diesem Datensatz https://d-nb.info/gnd/1176131737
Person Lió, Pietro
Geschlecht männlich
Land Großbritannien (XA-GB)
Beruf(e) Informatiker
Ingenieur Biotechnologie
Weitere Angaben Pietro Lió is a Full Professor of Computational Biology at the department of Computer Science and Technology of the University of Cambridge and also a member of the Artificial Intelligence group. He has an MA from Cambridge, a PhD in Complex Systems and Non Linear Dynamics (School of Informatics, dept of Engineering of the University of Firenze, Italy) and a PhD in (Theoretical) Genetics (University of Pavia, Italy). Other Affliations: Pietro is a member of - the Integrate Cancer Medicine Institute, the committee of MPhil in Computational Biology (Stakeholder Group for the CCBI) , steering committee of Cambridge BIG data, VPH-UK (Virtual Physiologycal Human), Fellow of Clare Hall College. His research interest focuses on using bioinformatics, computational biology models and machine learning to integrate various types of data (molecular and clinical, drugs, social and lifestyle) across different spatial and temporal scales of biological complexity to address personalised and precision medicine. In the context of basic science, these approaches are effective in understanding the mechanisms and the dynamics of how biological elements build up properties such as sensing the environment, information carrying, being programmable and doing computation and communication.
Beziehungen zu Organisationen University of Cambridge
Typ Person (piz)
Autor von 7 Publikationen
  1. Pathway-based subnetworks enable cross-disease biomarker discovery
    Haider, Syed. - Freiburg : Universität, 2026
  2. An end-to-end attention-based approach for learning on graphs
    Enthalten in Nature Communications Bd. 16, 5.6.2025, Nr. 1, date:12.2025: 1-16
  3. ...





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