SkinHelpDesk's profile picture. Welcome to the home of Machine Learning in skincare. We create and deploy machine learning models that determine skin tone, skin health and skin type.

SkinHelpDesk.com

@SkinHelpDesk

Welcome to the home of Machine Learning in skincare. We create and deploy machine learning models that determine skin tone, skin health and skin type.

Started a #github repository to collect useful healthcare prompts for large language models (#LLMs). Please share any prompt that you found useful! github.com/dermatologist/… @MSc_eHealth #ChatGPT #OpenAI #GPT4 via @beapen


Here is an #API for measuring the muscle movement in the crow's feet/frown/forehead regions based on autodetected facial landmarks from digital images. skinhelpdesk.com/2023/03/23/ski… #botox #dermatology via @beapen


Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models biorxiv.org/content/10.110… interesting! via @beapen


Detecting evidence of invasive fungal infections in cytology and histopathology reports enriched with concept-level annotations - ScienceDirect sciencedirect.com/science/articl… via @beapen


Using ICD9 diagnostic codes for external validation of topic models derived from primary care electronic medical record clinical text data - journals.sagepub.com/doi/full/10.11… via @beapen


Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation - ScienceDirect sciencedirect.com/science/articl… via @beapen


Low Code for Smart Software Development | IEEE Journals & Magazine | IEEE Xplore ieeexplore.ieee.org/document/99940… via @beapen


Connecting Design to Code | IEEE Journals & Magazine | IEEE Xplore ieeexplore.ieee.org/document/99940… via @beapen


Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals - ScienceDirect sciencedirect.com/science/articl… via @beapen


#CELLS: A Parallel Corpus for Biomedical Lay Language Generation arxiv.org/abs/2211.03818 via @beapen


Time Interval Uncertainty-Aware and Text-Enhanced Based Disease Prediction - ScienceDirect sciencedirect.com/science/articl… via @beapen


#MONAI: An open-source framework for deep learning in healthcare arxiv.org/abs/2211.02701 via @beapen


How to quickly and effectively read other people’s code – Self-Taught Coders selftaughtcoders.com/how-to-quickly… via @beapen


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