Frank Lin

Archive to application: pleased to share our work in the latest issue of JAAD Intl, showing the potential to enhance Mohs surgery through pragmatic deep learning in non-melanoma skin cancer. #DigitalDermatology #DigitalPathology #MohsSurgery #CancerAI jaadinternational.org/article/S2666-…

#cholangiocarcinoma: better real-world outcomes are seen in patients who received genomic matched drugs in the MoST study. Time to treat CCa like lung ca. Trials/drug access must improve. #AGITG22 @Subo81495328 #Precision @OmicoAustralia @TrialsCentre

Thanks @oncodocsydney for a great summary of where to next for advanced biliary cancer in the era of genomics @rare_arc @OmicoAustralia

Extracting oncologist’s observations from #EMR can predict survival more accurately than PS score in advanced #cancer patients. Mobility, symptoms, con-meds are predictors. Thank you @JCOCCI_ASCO for publishing our work! #NLP #CancerAI #ML #cancerprognosis ascopubs.org/doi/full/10.12…

@Mal_Itchins Big Congratulations Mal!

Doctor Doctor 🌻🌻 Thank you PhD Gods (and those down here who have been a huge support) 🥂 An average start to the day...transformed rapidly to a particularly excellent one 🙏

..also thanks to YearbMedInform2017 for recognising our work thieme-connect.com/products/ejour…. My view: whether #DecisionSupport is best done by a data- or a guideline-driven approach (or both) needs to be resolved by prospective clinical trials. #MachineLearning #CDSS #HealthInformatics

Tweeting older work in #CancerInformatics that may be of interest to some: Oncologists' collective decision about whether a #BreastCancer patient should have #AdjuvantChemotherapy can be modelled by #MachineLearning: bmccancer.biomedcentral.com/articles/10.11… #CDSS #Chemotherapy #HealthInformatics

Hello Twitter! #myfirstTweet