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NanoManufacturing

Michael De Volder, Engineering Department - IfM
 
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This is a superlist of research seminars in Cambridge open to all interested researchers. Weekly extracts of this list (plus additional talks not yet on talks.cam) are emailed to a distribution list of over 200 Cambridge researchers by Research Services Division. To join the list click here https://lists.cam.ac.uk/mailman/listinfo/biophy-cure For more information see http://www.cure.group.cam.ac.uk or email drs45[at]rsd.cam.ac.uk
Updated: 31 min 20 sec ago

Fri 14 Nov 08:45: Investigation into the role of Poly ADP-Ribose (PAR) in intervertebral disc calcification in dogs

Wed, 13/08/2025 - 09:13
Investigation into the role of Poly ADP-Ribose (PAR) in intervertebral disc calcification in dogs

Carolina Malco Rullan graduated with a degree in Veterinary Medicine in 2024 and worked as a general practitioner in Spain before moving to the UK to begin her PhD at the University of Cambridge in October. Her doctoral research focuses on understanding the process of intervertebral disc calcification, with particular interest in the role of Poly ADP -ribose (PAR)—a molecule previously associated with vascular calcification in humans. Carolina is investigating whether this molecule could also be involved in disc calcification in dogs, with the ultimate aim of developing a treatment that targets its precursor, PARP , to reduce or even prevent disc calcification, a condition linked to an increased risk of disc herniation

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Fri 07 Nov 08:45: Grand Rounds - Farm Animal

Wed, 13/08/2025 - 09:13
Grand Rounds - Farm Animal

Ian McCrone to chair

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Fri 24 Oct 08:45: Uncovering Genomic Drivers Across 13 Feline Cancer Types

Wed, 13/08/2025 - 09:13
Uncovering Genomic Drivers Across 13 Feline Cancer Types

Bailey is a first-year PhD student and bioinformatician, supervised by Prof. Elizabeth Murchison and co-supervised by Dr. Louise van der Weyden from the Wellcome Sanger Institute. His research utilises next-generation DNA sequencing data to unravel the molecular underpinnings of companion animal cancers. He holds a bachelor’s degree in Biology from the University of Manchester and a master’s degree in Bioinformatics from the University of Nottingham. When he is not coding, he enjoys playing football and cricket.

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Fri 17 Oct 08:45: CRAF forms (staff talk)

Wed, 13/08/2025 - 09:12
CRAF forms (staff talk)

Abstract not available

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Fri 17 Oct 08:45: Innate Immune Sensing of Cytosolic Bacterial Lipopeptides

Wed, 13/08/2025 - 09:12
Innate Immune Sensing of Cytosolic Bacterial Lipopeptides

Abstract not available

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Fri 03 Oct 08:45: Grand Rounds

Wed, 13/08/2025 - 09:12
Grand Rounds

Abstract not available

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Fri 19 Sep 14:00: Title to be confirmed

Wed, 13/08/2025 - 08:53
Title to be confirmed

Abstract not available

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Wed 05 Nov 15:00: tbc

Tue, 12/08/2025 - 12:01
tbc

Abstract not available

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Tue 23 Sep 14:00: BSU Seminar: "Upgrading survival models with CARE" This will be a free hybrid seminar. To register to attend remotely, please click here: https://cam-ac-uk.zoom.us/meeting/register/M66a6T77T9-0PCylnJfB7g

Tue, 12/08/2025 - 10:45
BSU Seminar: "Upgrading survival models with CARE"

Clinical risk prediction models are regularly updated as new data, often with additional covariates, become available. We propose CARE (Convex Aggregation of relative Risk Estimators) as a general approach for combining existing “external” estimators with a new data set in a time-to-event survival analysis setting. Our method initially employs the new data to fit a flexible family of reproducing kernel estimators via penalised partial likelihood maximisation. The final relative risk estimator is then constructed as a convex combination of the kernel and external estimators, with the convex combination coefficients and regularisation parameters selected using cross-validation. We establish high-probability bounds for the L2-error of our proposed aggregated estimator, showing that it achieves a rate of convergence that is at least as good as both the optimal kernel estimator and the best external model. Empirical results from simulation studies align with the theoretical results, and we illustrate the improvements our methods provide for cardiovascular disease risk modelling.

This will be a free hybrid seminar. To register to attend remotely, please click here: https://cam-ac-uk.zoom.us/meeting/register/M66a6T77T9-0PCylnJfB7g

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Tue 23 Sep 14:00: BSU Seminar: "Upgrading survival models with CARE" This will be a free hybrid seminar. To register to attend remotely, please click here: https://cam-ac-uk.zoom.us/meeting/register/M66a6T77T9-0PCylnJfB7g

Tue, 12/08/2025 - 10:45
BSU Seminar: "Upgrading survival models with CARE"

Clinical risk prediction models are regularly updated as new data, often with additional covariates, become available. We propose CARE (Convex Aggregation of relative Risk Estimators) as a general approach for combining existing “external” estimators with a new data set in a time-to-event survival analysis setting. Our method initially employs the new data to fit a flexible family of reproducing kernel estimators via penalised partial likelihood maximisation. The final relative risk estimator is then constructed as a convex combination of the kernel and external estimators, with the convex combination coefficients and regularisation parameters selected using cross-validation. We establish high-probability bounds for the L2-error of our proposed aggregated estimator, showing that it achieves a rate of convergence that is at least as good as both the optimal kernel estimator and the best external model. Empirical results from simulation studies align with the theoretical results, and we illustrate the improvements our methods provide for cardiovascular disease risk modelling.

This will be a free hybrid seminar. To register to attend remotely, please click here: https://cam-ac-uk.zoom.us/meeting/register/M66a6T77T9-0PCylnJfB7g

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Fri 23 Jan 17:30: Title to be confirmed

Tue, 12/08/2025 - 08:27
Title to be confirmed

Abstract not available

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Fri 13 Mar 17:30: Title to be confirmed

Tue, 12/08/2025 - 08:27
Title to be confirmed

Abstract not available

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Fri 06 Mar 17:30: Title to be confirmed

Tue, 12/08/2025 - 08:26
Title to be confirmed

Abstract not available

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Fri 27 Feb 17:30: Title to be confirmed

Tue, 12/08/2025 - 08:25
Title to be confirmed

Abstract not available

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Fri 20 Feb 17:30: Title to be confirmed

Tue, 12/08/2025 - 08:23
Title to be confirmed

Abstract not available

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