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Latest academic promotion

We are happy to announce the recent promotion of Arpan Mukhopadhyay to Associate Professor within our department.
Many congratulations to Arpan for all his achievements!
Mon 22 Apr 2024, 02:04 | Tags: People Highlight

New Computer Science programme with the Kharkiv National University of Radio Electronics (NURE)

The University of Warwick will launch a new Computer Science programme with the Kharkiv National University of Radio Electronics (NURE) this September. This announcement coincides with the second anniversary of the University of Warwick's official twinning with NURE (29 Mar). The full story is available hereLink opens in a new window.

Wed 10 Apr 2024, 13:51 | Tags: Courses Highlight Research Faculty of Science

DCS Holds Alumni Reunion Event

The DCS hosted CS-ARC on the 22nd of March, with over 70 alumni coming to campus to reminisce and share their stories.

Tue 09 Apr 2024, 09:27 | Tags: People Highlight Outreach Alumni

Digitally Empowering Young People: The Podcast

“Digitally Empowering Young People: The Podcast” is a ground-breaking podcast series hosted by Dr. Roxanne BibizadehLink opens in a new window.

In this inaugural series, we delve into the pressing issue of technology-assisted child sexual abuse material, focusing particularly on the misleading term “self-generated”, which problematically places the blame on the victim. Through this series, we aim to raise awareness and spark vital conversations among educators, parents/carers, law enforcement agencies and professionals working with young people.

Each episode features a distinguished expert voice, offering invaluable insights and perspectives on this critical issue. Contributors include esteemed organisations such as the Internet Watch Foundation, Marie Collins Foundation, National Policing Vulnerable Knowledge and Practice Programme, Parent Zone, Kent County Council, and Voice Box.

Our final episode is created especially for young people, providing them with essential information and resources to navigate the digital landscape safely and responsibly.

To listen to our podcast series, visit us on Spotify: opens in a new window

For more information about this project and to stay updated on our latest initiatives, please visit our website: www.deyp.orgLink opens in a new window

We’re proud to announce that this project is funded by the ESRC IAA.

Dr. Fanghui Liu on AAAI-24 New Faculty Highlights

Dr Fanghui Liu was selected as a speaker in AAAI 2024 New Faculty Highlights Program to present his research on machine learning theory as well as theoretical-oriented applications.

Mon 04 Mar 2024, 09:00 | Tags: People Highlight

Computer Science Alumni Reunion Conference 2024

The Department of Computer Science is hosting the alumni reunion conference on March 22nd - bringing together current and past students, along with academics and researchers to enjoy a day of talks and demonstrations.

Tue 27 Feb 2024, 16:00 | Tags: Conferences Alumni

Protein biomarkers predict dementia 15 years before diagnosis – according to new study

In the largest study of its kind, scientists have shown how protein “biomarkers” predict dementia 15 years before diagnosis.

The research, published today in Nature Aging, shows how profiles of proteins in the blood accurately predict dementia up to 15 years prior to clinical diagnosis. These are known as biomarkers, which are molecules found in blood, other body fluids, or tissues that is a sign of a normal or abnormal process, or of a condition or disease.

In the study, scientists from The University of Warwick and Fudan University, Shanghai used the largest cohort of blood proteomics and dementia to date, including blood samples from 52,645 healthy participants recruited from UK Biobank – a population-based study cohort.

Blood samples collected between 2006 and 2010 were frozen and then analysed 10-15 years later by the research team who analysed them between April 2021 and February 2022. Until March 2023, a total of 1,417 participants went on to develop dementia – and these people’s blood showed dysregulation of protein biomarkers.

Of 1,463 proteins analysed, aided by with a type of artificial intelligence known as machine learning, 11 proteins were identified and combined as a protein panel, which the researchers have shown to be highly accurate at predicting future dementia. Further incorporation of conventional risk factors of age, sex, education level and genetics, showed for the first time the high accuracy of the predictive model, measured at over 90%*, indicating its potential future use in community-based dementia screening programs.

Proteins (for example Glial Fibrillary acidic protein, GFAP) had previously been identified as potential biomarkers for dementia in smaller studies, but this new research was much larger and conducted over several years. Known as a longitudinal analysis (a study conducted on a sample of participants over a number of years), the researchers were able to show the differences and trajectories between those with dementia and controls across 15 years.

An early diagnosis is critical for those with dementia. New drug technology can slow, or even reverse the progress of Alzheimer’s, but only if the disease is detected early enough. The drug lecanemab is one of two new treatments for the disease.

Lead author Professor Jianfeng Feng, from the Department of Computer Science, University of Warwick, hopes future drugs may be developed to interact with the proteins identified in the study.

Professor Feng emphasised that the combination of artificial intelligence and protein analysis offers a promising avenue for precision medicine. This is highly important for screening mid-aged to older individuals within the community who are at high risk of dementia. “This model could be seamlessly integrated into the NHS and used as a screening tool by GPs”, said Professor Feng.

Professor Wei Cheng, a co-corresponding author from Fudan University, explained that this research builds on the team’s previously developed dementia prediction model which used variables, such as age, presence of a certain gene and mother’s age at death. “Compared to our previous work, the newly developed protein-based model is obviously a breakthrough”, he said.

Another corresponding author Professor Jintai Yu, a neurovegetative disease specialist from Fudan University, added: “The proteomic biomarkers are more easily to access and non-invasive, and they can substantially facilitate the application of large-scale population screening”.

He also pointed drawbacks of previous risk models, which were primarily depended on intricate and difficult-to-obtain biomarkers using procedures such as lumbar puncture or complex imaging methods meaning their widespread use is hindered because of the invasive procedures and the high cost of carrying them out.

Read the study here: opens in a new windowLink opens in a new window

Notes to Editors

The University of Warwick signed a Memorandum of Understanding with Fudan University in 2022 and the two Universities work together designing and developing new research projects and run staff and student exchanges.

*The Area Under the Curve (AUC) figure is used to measure how good a model performs. A model whose predictions are 100% wrong has an AUC of 0.0; one whose predictions are 100% correct has an AUC of 1.0. this study had an AUC of over 0.9.

Case studies

The University works closely with people with dementia and their families at a Dementia Café, set up by Warwick Medical School. Should you wish to speak to a case study, please get in touch.

Media contact 

University of Warwick press office contact: 

Annie Slinn 07876876934 

Communications Officer | Press & Media Relations | University of Warwick Email: opens in a new windowLink opens in a new window 

Mon 12 Feb 2024, 18:02

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