Digital dermatology startup Clinikally from India has raised $500,000 in pre-seed funding from Y Combinator, a US-based tech startup accelerator, and Shutterstock CEO and founder Jon Oringer.
It also secured the amount from other investors, including ReNew Power founder Sumant Sinha, MapMyGenome founder Anu Acharya, Nepean Capital founder Gautam Trivedi, and Northwestern Medicine chief of head...
Clinikally, a digital dermatology startup in India, is working to harness artificial intelligence to deliver automated hair and skin treatment plans.
WHAT IT DOES
Founded in 2021, the startup is connecting patients and dermatologists through its web-based platform and delivers prescription products directly to consumers.
Its system works by users first filling out a questionnaire form, which asks...
CureSkin, an AI-enabled beauty and personal care app in India, has snapped up $5 million in a Series A investing round led by JSW Ventures.
The latest fund adds to the $500,000 that the startup has raised in January 2020 in a funding round led by AI venture fund SenseAI.
WHAT IT DOES
Founded in 2017, CureSkin is a dermatology app that uses AI to provide expert and personalised treatment plans...
Dermatology is a hot space in digital health. Even Google is creating tools to help patients find answers to dermatological questions. However, there are still many questions about how artificial intelligence algorithms are trained, and whether the data sets used are representative of the population.
New research out of the Lancet found that publicly available datasets that are used to train...
Google is looking to use artificial intelligence to help patients find answers to dermatology questions using their personal cameras.
"Skin diseases as a category are an enormous global burden and every day we see millions of people turning to Google to research their skin concern," Dr. Peggy Bui, product manager at Google Health, said. "Worldwide, two billion are affected, and most cases are...
Computer vision has great promise for helping to democratize fields like wound care, dermatology and more. However, as companies explore this potential, they’re also discovering a number of challenges to overcome.
The data problem
“Getting the data is really the biggest challenge, not the AI,” Karen Panetta, IEEE fellow and dean of graduate engineering at Tufts University who studies AI use cases...
