PhD studentship: Artificial intelligence based early detection of signet ring cell carcinoma in hereditary diffuse gastric cancer patients

Job title:

PhD studentship: Synthetic intelligence based mostly early detection of signet ring cell carcinoma in hereditary diffuse gastric most cancers sufferers

Firm

College of Cambridge

Job description

This can be a distinctive alternative for PhD examine within the world-leading Most cancers Analysis UK Cambridge Institute (CRUK CI), to start out a analysis profession in an surroundings dedicated to coaching excellent most cancers analysis scientists of the long run. The Institute has wonderful state-of-the-art services and analysis ranges from primary biology and computational biology by way of to translational most cancers analysis and scientific software.

Postgraduate college students play a pivotal position within the persevering with success of our analysis programmes. In case you are taken with contributing to our success, please discover additional data at:

Professor Florian Markowetz needs to recruit a pupil to work on the undertaking entitled: Synthetic intelligence based mostly early detection of signet ring cell carcinoma in hereditary diffuse gastric most cancers sufferers

This undertaking will probably be co-supervised by Dr. Massimiliano di Pietro, a marketing consultant gastroenterologist at Addenbrookes’ hospital.

For additional details about the analysis teams, together with their most up-to-date publications, please go to their web site:

Undertaking particulars

Hereditary diffuse gastric most cancers (HDGC) is a syndrome predisposing people to gastric most cancers linked to mutation of the e-Cadherin gene (CDH1). Pointers suggest prophylactic surgical procedure with the view to stop illness particular mortality, nevertheless a gastrectomy is linked to vital morbidity and impacts negatively to high quality of life. Due to this fact, lately endoscopic surveillance has been proposed to evaluate the extent of threat and detect early most cancers, in order that the most effective timing of prophylactic surgical procedure is set. Early signet ring cell carcinoma, nevertheless, is troublesome to diagnose on customary endoscopy because the endoscopic options are very delicate. There’s variation in follow within the pathological yield of biopsies even amongst skilled centres. The intention of this undertaking is to check and validate machine studying and deep studying strategies to enhance the prognosis of early most cancers in people with HDGC. This undertaking is anticipated to result in the event of an AI system that may help the doctor to diagnose early signet ring most cancers, with excessive accuracy, throughout endoscopic surveillance of people with HDGC, finally enhancing the prognosis of of sporadic gastric most cancers.

Most well-liked abilities/information

We welcome candidates from each a computational or scientific background. Ideally, candidates have prior expertise in laptop programming and be aware of knowledge evaluation, particularly imaging knowledge, in a programming language used for deep studying similar to Python, together with libraries similar to Scikit-learn or PyTorch, and be passionate concerning the software of AI in scientific follow.

References/Additional studying (optionally available) * Lee CYC, Olivier A, Honing J, et al. Endoscopic surveillance with systematic random biopsy for the early prognosis of hereditary diffuse gastric most cancers: a potential 16-year longitudinal cohort examine. Lancet Oncol. 2023;24(1):107-116.

• Blair VR, McLeod M, Carneiro F, et al. Hereditary diffuse gastric most cancers: up to date scientific follow pointers. Lancet Oncol. 2020;21(8):e386-e397.
• Li J, Zhu Y, Dong Z, et al. Growth and validation of a characteristic extraction-based logical anthropomorphic diagnostic system for early gastric most cancers: A case-control examine. EClinicalMedicine. 2022;46:101366.
• Dong Z, Wang J, Li Y, et al. Explainable synthetic intelligence included with area information diagnosing early gastric neoplasms underneath white gentle endoscopy. NPJ Digit Med. 2023;6(1):64.

Funding

This four-year studentship is funded by Most cancers Analysis UK and contains full funding for College and Faculty charges and, as well as, a stipend at present of £21,000 every year for 4 years.

Eligibility

No nationality restrictions apply to Most cancers Analysis UK studentships. Purposes are invited from current graduates or closing 12 months undergraduates who maintain or anticipate to realize a primary/higher second-class diploma (or equal) in a related topic from any recognised college worldwide. Candidates with related analysis expertise gained by way of Grasp¿s examine, or whereas working in a laboratory, are strongly inspired to use.

apply

Please apply utilizing the College Applicant Portal. For additional details about the course and to entry the applicant portal, go to:
Please choose to start examine in Michaelmas Time period 2024 (October 2024).

To finish your on-line software, you will want to supply the next:

Reference Request

The names and phone particulars of two tutorial referees who’ve agreed to behave in your behalf.

Course Particular Query

Your assertion of curiosity (restrict of two,500 characters) ought to clarify why you want to be thought-about for the studentship and which qualities and expertise you’ll carry to the position.

Supporting Doc

Please add your CV (PDF file).

Deadline

The deadline for functions is 31 March 2024 with interviews anticipated to happen in mid to late Could.

Please quote reference SW40762 in your software and in any correspondence about this emptiness.

The College actively helps equality, range and inclusion and encourages functions from all sections of society.

The College has a accountability to make sure that all staff are eligible to stay and work within the UK.

Anticipated wage

£21000 per 12 months

Location

Cambridge

Job date

Wed, 06 Mar 2024 08:40:33 GMT

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