Deep Learning for Blood Testing / AI for Clinical Trial Matching.
This month we are featuring a survey of early stage startups working in various sectors of health and medicine.
"Athelas uses the novel approach of deep learning to automatically analyze blood cells in seconds. Our algorithms are trained to differentiate cell morphology and pick up on nucleation features.This automation technique lets us perform an array of blood tests on drop samples of blood accurately, rapidly, and for a fraction of existing costs."
"It takes 15 years before a cutting edge treatment can be prescribed to you by your doctor. This journey from a research lab to your doctor's office is longer than your cancer can wait. With Mendel, You share a list of your doctors, and we collect your records. We match your records with the world's largest knowledge-base of cancer trials. You contact and enroll in clinical trials with the click of a button."
Note: By signing up for this event, you will automatically be added to future SVAI announcements.
SPEAKERS:
Tanay Tandon
Tanay Tandon is a Machine Learning and NLP researcher. He studied mathematics and computer science at Stanford before leaving to start Athelas, a blood diagnostics startup, to make blood testing fast and inexpensive. Athelas was part of a 2014 Y Combinator hackathon and was accepted into Y Combinator in summer 2016.
Karim Galil
Karim is co-founder and CEO of Mendel.ai. He has received his MD and medical residency in Cairo, Egypt. Karim is also an entrepreneur by spirit, his first company Kryptonworx led health tech in the MENA region with customers like Pfizer and Ministry of Health in UAE. Karim has also helped many companies in the field of medical image processing like Sirona, Straumann and 3D Diagnostix. At Mendel, Karim continues to innovate AI-powered solutions to real-world healthcare challenges.
FORMAT:
Two talks + Q&A.
AGENDA:
18.00: Doors Open
18.40: Welcome!
18.45: Talks
20.00: Make Some New Friends
21.30: Doors Close
LIVE STREAM:
We will be Live Streaming this event from our Facebook Group.
SPONSORS:
TECHNICAL LEVEL:
Low.
VENUE:
IndieBio
479 Jessie St, San Francisco, CA 94103
TRANSPORTATION:
BART: 0.2 miles from Powell Station
FOOD & DRINKS:
Appetizers and Beer provided by Indie Bio.
----Standard Event Disclosures----
We have a pretty thorough FAQ, please check it out here: FAQ.
CODE OF CONDUCT:
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers. For full version, please see: confcodeofconduct.com.
PHOTOGRAPHY:
We take photos at our events. Some of these photos will be used on our website. We seek to respect your privacy and ask that if you do not want your photo to appear on SVAI to please email us.
COMMUNICATIONS:
By signing up for this event, you will automatically be added to future SVAI announcements.
PROMOTIONS:
We do not make announcements for non-SVAI events or conferences at our gatherings. Distribution of flyers, printed media or other non SVAI related materials is not allowed at our events.
IMPORTANT:
This gathering is limited to 120 people. You MUST be pre-registered to attend. Registration must include your First and Last name, and some of our venues require ID for entry. You do not need to print a paper ticket. We will be checking people in the building lobby. Questions or comments? Tweet to us @SVAIresearch.