Skip to content

Latest commit

 

History

History
41 lines (23 loc) · 2.12 KB

prj-descr.md

File metadata and controls

41 lines (23 loc) · 2.12 KB

Copyright (c) 2020 OERCompBiomed

Precision medicine and quantitative imaging in glioblastoma - a multiscale approach

Description

Imagine that you are a group of established successful scientists that will team up to tackle an important biomedical and medical challenge. There is an open call for research proposals under a new umbrella program entitled “Artificial intelligence and computational (bio)medicine”, where your multidisciplinary group are aiming for a project on “Precision medicine and quantitative imaging in glioblastoma - a multiscale approach”.

The focus of the assignment is (i) description of relevant imaging technologies and modalities - at different scales, (ii) proposal of imaging-derived biomarkers for glioblastoma, (iii) machine learning techniques for classification, treatment stratification and prediction, (iv) the novelty and impact of your approach, and (v) the evaluation of the ethics of your project - and not so much the scientific background of brain cancer per se.

Organization of your report

Research plan

(3-5 pages incl. figures and bibliography)

  • A brief background to the field
  • Objectives and expected impact
  • Material and methods
  • Evaluation

Data management plan and ethical considerations

(1 1/2-2 1/2 pages incl. graphics / links)

  • Description of generated data and code
  • Sharing of data and code
  • Ethical consideration

________________________________________________________________________________________

A LaTeX template on Overleaf

Group work from Seili-2019, then focusing on prostate cancer, can be found on Overleaf [here] and
on this repo as [main.tex] [fig1] [fig2] resulting in [pdf]

Some sources of information (brain tumors - neuroimaging - AI - software & data)

are listed here