@ResearchpodHQ 1 year ago
Dr. Susan Mertins, is exploring how ordinary differential equations and #machinelearning can be applied to #cancer data for biomarker discovery and drug development, leading to improvements in personalised #medicine. Listen now: https://www.buzzsprout.com/582022/11871011-computational-biology-how-mathematical-modelling-can-help-cure-cancer
@H2020MyPal 1 year ago
An interesting study recently published in @PalliativeMedJ looks at the use of #MachineLearning models to detect social distress, spiritual pain as well as severe symptoms in end-of-life #cancer patients using data from medical records. Read more here: https://journals.sagepub.com/doi/full/10.1177/02692163221105595
@queensuResearch 3 years ago
#queensu researcher @ProfSimsim is the @CRC_CRC in Biomedical Computing and Informatics, leveraging #MachineLearning technologies to transform how clinicians treat #cancer using a data-driven, precision medicine approach | #QueensuResearch | #WomenInSTEM https://www.queensu.ca/research/researchers/amber-simpson-0
@Abhishek4273 3 years ago
Tried training an image segmentation model on PanNuke dataset, an Open Pan-Cancer Histology Dataset - https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo (Ex 51) Data - https://jgamper.github.io/PanNukeDataset/ #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #Python #git #medical #Cancer #opensource #AI https://t.co/rFQ5JcvZjt
@ProjectShivom 4 years ago
Patient-centric approach, data-driven medicine and improved healthcare communication will remain the top AI trends in healthcare this year. https://buff.ly/2RIyreU #healthcare #research #shivom #AI #genomics #cancer #patient #machinelearning #datamining #technology https://t.co/qFcmkG5zhL
@DeepLearn007 6 years ago
A machine learning approach to integrate big data for precision medicine in acute myeloid leukaemia#AI #MachineLearning #BigData #ML #HealthTech #cancer #tech https://www.nature.com/articles/s41467-017-02465-5 https://t.co/rSQRwQuAwv