Artificial Intelligence and Blockchain for Healthcare

LindaHealthCoin (LNDA) is a Cryptocurrency used to purchase a CryptoHealthInsurance offering an Artificial Intelligence Virtual Medical Assistant App.

White Paper

Crowdsale open from 06:00 PM Pacific Time (UTC -8) of Nov 17th 2017. How to participate

Story

Our whole team met at Stanford University and Harvard University while at different research departments working on distinct aspects of Artificial Intelligence as researchers. Some of us where in the medicine department, others in the computer science department, others in computational biology. What brought us together was the mission of changing the way health care is done and revolutionizing a global market in need of innovation. Our goal is to use AI and the blockchain to change the world of health care.

Technology

We are developing conversational artificial intelligence and natural language processing for primary care and general health and medicine. We develop state-of-the-art Deep Neural Networks LSTMs. Our advanced natural language dialog system is designed for primary care, pre and post-operation care and general medicine conversations.

Technical Paper #1

Technical Paper #2

Technical Paper #3

Value Proposition

Protect yourself from inflation of fiat currencies and skyrocketing rising global health care costs with LindaHealthCoin cryptocurrency.

Get paid for your medical data and protect it in the blockchain.

Stanford University is an investor in Linda Healthcare and a strong supporter of our team and revolutionary technology.

Road map

Protect yourself from inflation of fiat currencies and skyrocketing rising global health care costs with LindaHealthCoin cryptocurrency.

  1. Pre-Sale
  2. ICO launch
  3. ICO ends
  4. Launch of CryptoHealthInsurance
  5. Launch of Virtual Medical Assistant
  6. Access to Telemedicine doctors and prescriptions

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Our partners

Team

A multidisciplinary team composed of experts in Medicine and Health, data scientists, software engineers and managers.

Arturo Devesa

Arturo Devesa

CEO, Stanford University Researcher

Arturo is a data scientist researcher and medical entrepreneur. He’s a Research Scholar at Stanford University School of Medicine.

He has participated in the Stanford University startup accelerator StartX and StartXMed.

Arturo has a Bachelor in Finance ’06, an MBA ’09, and a Masters of Science in Economics and Econometrics ’11 all from Florida Atlantic University. Teaching assistant and later an adjunct faculty academic teaching statistics and information technology from 2008-2011 at Florida Atlantic University.

Arturo moved in 2012 from Florida to Palo Alto to research & develop medical AI technology at Stanford University.

Julian Kates-Harbeck

Julian Kates-Harbeck

Harvard University Machine Learning PhD

Julian is a fourth year PhD student and candidate in Machine Learning at Harvard University.

His research focus is artificial intelligence, Long-Short Term Memory Recurrent Neural Networks, training and teachings systems learn conversation, and physics.

Sasi Madugula

Sasi Madugula

MD/PhD student at Stanford Medical School

Sasidhar Madugula is a fourth year MD/PhD student at Stanford Medical School, in neuroscience.

Prior to that he completed a master’s in Clinical Neuroscience at Oxford, and a bachelor’s in bioengineering at the University of Illinois at Chicago.

He currently works on retinal electrophysiology with Professor E.J. Chichilnisky.

Dr. Oliver Aalami

Dr. Oliver Aalami

Medical Lead, Stanford University Medical Professor

Clinical Associate Professor of Vascular Surgery at Stanford University School of Medicine. He’s also a Medical Director of Wound Clinic and Medical Director of Vascular Laboratory of Veterans Affairs Palo Alto Healthcare Center.

Dr. Aalami has years of experience building digital health applications, seeing patients, advising medical startups and developing entrepreneurship in Silicon Valley.

Akshay Phadnis

Akshay Phadnis

Artificial Intelligence Engineer

Akshay is a computer scientist having a Master of Science with a specialization in Artificial Intelligence from The University of Texas at Dallas.

His interests are Information Retrieval, Natural Language Processing, Machine Learning and Software Engineering.

He did his Bachelor’s in India and also holds an award from G.H.R. Labs and Research Centre for his contribution in an Intelligent Tutoring System that teaches C language.

Amanda Holst

Amanda Holst

PhD in Business Development, Senior Marketing Specialist

Amanda has over seven years experience in marketing, managing, operations, instructing, speaking, public relations, and start-ups.

She has played a variety of leadership roles as Senior Marketing Manager, Editor in Chief, and Operations Director in education, health and tech.

Dr. Mark Musen

Dr. Mark Musen

Medical advisor

Dr. Mark Musen is a professor of Medicine and a Biomedical Informatics researcher. He’s a member of Stanford’s Bio-X and Director of Stanford Center for Biomedical Informatics Research since 1992.

Dr. Musen is a principal investigator at the National Center for Biomedical Ontology (2005 – Present). His awards and recognitions include: General Chair, Association for Computing Machinery Conference on Knowledge Capture (K-Cap ’11) (2011), Elected Member of Association of American Physicians (2010), Donald A. B. Lindberg Award for Innovation in Informatics, American Medical Informatics Association (2006).

His education include a Ph.D. from Stanford University, Medical Information Sciences (1988), an M.D. from Brown University, Medicine (1980), and a Sc.B. from Brown University, Biology (1977).

You can learn more about Dr. Mark Musen at https://med.stanford.edu/

Fernando Macho

Fernando Macho

Tech investor and entrepreneur

Fernando Macho is an Spanish tech investor and entrepreneur with over 30 years of business experience in every industry imaginable.

Based out of Bilbao, Spain, Fernando helps Linda Healthcare leverage his European connections in finance and technology.

Alberto Díaz, PhD

Alberto Díaz, PhD

Artificial Intelligence researcher

Alberto Diaz is a Professor in the Computer Science department at the University Complutense of Madrid, Spain.

He’s a PhD in Artificial Intelligence and his research is focused in Natural Language Processing in computer systems.

Serena Yeung

Serena Yeung

Artificial Intelligence PhD technical advisor

Stanford University Artificial Intelligence PhD candidate advising on Convolutional Neural Networks and Recurrent Neural Networks.

Eric Gibbons

Eric Gibbons

Computational Biology PhD technical advisor

Stanford University Computational Biology PhD candidate advising on Convolutional Neural Networks and Recurrent Neural Networks.

Mordy Rapp

Mordy Rapp

Film & Video Producer

Producing Highly Effective Videos for Tech. Creative Director at VideoSparks.