QUANTUM COMPUTING: Healthcare and Banking Affected [B-QTUM Index Fund]

FUNDAMENTAL INDUSTRY CHANGES

By Staff Reporters

***

***

Index Funds

An index mutual fund or ETF (exchange-traded fund) tracks the performance of a specific market benchmark—or “index,” like the popular S&P 500 Index—as closely as possible. That’s why you may hear people refer to indexing as a “passive” investment strategy.

Instead of hand-selecting which stocks or bonds the fund will hold, the fund’s manager buys all (or a representative sample) of the stocks or bonds in the index it tracks.

***

Quantum Computing

Unlike traditional computers that use bits, quantum computers utilize qubits. These qubits are capable of being in a state of superposition, where they can represent both 0 and 1 simultaneously, enabling the processing of multiple calculations at once. This could allow quantum computers to outperform classical computers in solving certain complex problems. However, the field is still overcoming challenges such as qubit stability and decoherence; especially in these three areas:

  • Quantum computing could fundamentally alter healthcare by accelerating drug discovery and improving individualized medicine. Rapid analysis of enormous volumes of biological data allows quantum computers to find trends that might guide the creation of more potent treatments. In addition to accelerating drug development, this will enable customized treatments tailored to unique genetic profiles.
  • Faster and more accurate financial models produced by quantum computing will transform the banking sector. Through real-time analysis of intricate financial systems, it can help investors to control risk and make better decisions. More precise market forecasts will help maximize portfolio management and trading strategies.
  • Through greatly enhanced medical diagnosis and patient care, quantum computing can transform the healthcare industry. Quantum computers can remarkably accurately find trends and possible health hazards by analyzing enormous volumes of medical data in a fraction of the time. Early diagnosis and more customized treatment alternatives follow from this.

BQTUM Index Fund

Index Description: The BlueStar® Machine Learning and Quantum Computing Index (BQTUM) tracks liquid companies in the global quantum computing and machine learning industries, including products and services related to quantum computing or machine learning, such as the development or use of quantum computers or computing chips, superconducting materials, applications built on quantum computers, embedded artificial intelligence chips, or software specializing in the perception, collection, visualization, or management of big data.

Citation and Disclosure: https://www.defianceetfs.com/qtum/

COMMENTS APPRECIATED

Read, Like, Subscribe and Refer

***

***

PODCAST: Machine Learning for Population Health

By Eric Bricker MD

***

***

COMMENTS APPRECIATED

Thank You

***

***

PODCAST: Artificial Intelligence in Medicine

MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING

By Eric Bricker MD

***

***

YOUR COMMENTS ARE APPRECIATED.

Thank You

***

Thank You

***

PODCAST: Healthcare Machine Learning Can Self Create / Improve Algorithms?

Machine Learning is a Subset of Artificial Intelligence (AI) Where Computer Software Can Create and Improve on Algorithms on Its Own.

Machine Learning for Population Health

PODCAST: 'Hacking of the American Mind' | The Leading ...

By Eric Bricker MD

Healthcare Machine Learning Company ClosedLoop.ai is One of the Best at Applying Machine Learning to Population Health Data.

ClosedLoop.ai is So Good, They Won the CMS AI Challenge … Beating Out 300 Other Organizations Including IBM, the Mayo Clinic and Deloitte.

The Promise of Machine Learning in Population Health is to Better Predict Which People Will Benefit From an Intervention Because They Are at Greater Risk of a Complication of a Disease or an ER Visit or a Hospitalization.

ClosedLoop.ai Beautifully Applied Their Machine Learning Abilities to Create a Pandemic Risk Model That Helped a New York City Health Insurance Plan Identify Which Members Would Be Most Likely to Have Severe Complications of COVID-19.

As a Result, the Insurance Company Helped These Individuals Have Groceries and Prescription Medication Delivered to Them So They Could Stay at Home and Avoid Exposure to COVID.

There You Have It!  A Practical, Real-World Example of Machine Learning in Population Health That Literally Saved Some People’s Lives.

Disclaimer: Dr. Bricker is the Chief Medical Officer of Virtual Care Company First Stop Health.

***

THANK YOU

HIT: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

***

DAILY UPDATE: BLS and Machine Learning

By Staff Reporters

***

***

Increases in the shelter, food, and medical care indexes were the largest of many contributors to the monthly seasonally adjusted all items increase.”—Bureau of Labor Statistics’s Consumer Price Index Summary

According to Betterment, one of the world’s largest robo-advisors, whose consumer-facing investment offerings make virtually no use of machine learning. [Emerging Tech]

***

FINANCE: https://www.routledge.com/Comprehensive-Financial-Planning-Strategies-for-Doctors-and-Advisors-Best/Marcinko-Hetico/p/book/9781482240283

***

COMMENTS APPRECIATED

Thank You

***

PODCAST: Machine Learning For Population Health

BY ERIC BRICKER MD

***

***

COMMENTS ARE APPRECIATED.

Thank You

ORDER: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

POPULATION HEALTH: https://medicalexecutivepost.com/2016/06/28/what-is-population-health/

***

FOREWORD: https://medicalexecutivepost.com/wp-content/uploads/2007/10/foreword-mata.pdf

BUSINESS MEDICINE: https://www.amazon.com/Business-Medical-Practice-Transformational-Doctors/dp/0826105750/ref=sr_1_9?ie=UTF8&qid=1448163039&sr=8-9&keywords=david+marcinko

***

TWO SKILLS: Physician Programmers Need to Know

By Joel Comm

***

***

Machine Learning

The global machine learning market was valued at $15.44 billion in 2021, and it is expected to grow to $209 billion by 2029. Machine Learning is a technology that has grown in popularity over the past years, especially driven by the success of companies like Google in the field of AI.

This success is also in big part due to the technology becoming more accessible to the masses. Take OpenAI’s AI image generator, DALL-E, as an example: Since DALL-E Mini went public, it has been given uses ranging from making memes to artwork worth the attention of The New Yorker.

Gone are the days in which machine learning was only accessible to researchers in top-notch institutions. Today, machine learning can be mastered all around the globe in official institutions, online education platforms, and even via comics.

Web3 / Blockchain Development

Whether you are invested in crypto and NFTs or not, the Metaverse is being built, and it promises to turn centralized, corporate-controlled Web2 on its head. The world of computer users–that’s pretty much all of us–has, for years, grown increasingly frustrated by having to operate under the oversight of a few monoliths.

The promise of Web3 is community–not corporation–first.

Innovators in the space like Proof of Learn are developing easily accessible educational platforms where Web2 pros and the tech-interested can learn to code in Web3, in a learn and earn model. The company’s first project is a lore-rich online academy called Metacrafters.io, drawing in gamers and developers, and attracting some serious backing from leading VCs and crypto investors. Fellow industry leaders, such as Solana, Flow, Avalanche, and Polygon Foundations, recently gave $4.5 million in grant funding to support Metacrafters’ mission of upskilling Web2 developers. This grant helps fund their learn and earn protocol, so you get to take courses in a game world and get paid for it.

Metacrafters.io might be one with this learn and earn model teaching coding skills, but it is in line to inspire more of its kind. Look around at the landscape of Web3 education and get cracking, because the Metaverse will be here sooner than expected, and developers will be the major players in it.

HIT: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

***

COMMENTS APPRECIATED

Thank You

***

RELATED: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

***

PODCAST: Healthcare Artificial Intelligence, Machine Learning and Natural Language Processing

PODCAST ON UnitedHeathcare Group Annual Report

Dr. Eric R. Bricker, Internist in Dallas, TX | US News Doctors

By Eric Bricker MD

An Annual Report from UnitedHealth Group Says United is Going Drive Growth by Using AI and Machine Learning to 1) Help High Risk Patients, 2) Assist Patients with Multiple Chronic Diseases, 3) Partner with Providers and 4) Be More Patient-Centric.

Some More Concrete Examples of How AI and Machine Learning Can Be Used in Healthcare and Health Insurance Are:

1) Better Underwriting of Risk

2) More Highly Focused Prior Authorization

3) Cherry-Pick the Individual Health Insurance Market

However, the Execution of AI’s and Machine Learning’s Finding Requires Human Behavior Modification–an Almost Impossible Task for Any Insurance Carrier to Accomplish Because of Their Low Credibility with Patients, Doctors and Nurses. Without Credibility and Trust, All the AI and Machine Learning in the World Will NOT Change People’s Behavior.

PODCAST LINK: https://www.youtube.com/watch?v=c9knoA30sD4

Disclaimer: Dr. Bricker is the founder of Texas Family Insurance – an independent insurance agent that sells Oscar Health.

ASSESSMENT: Your comments are appreciated.

THANK YOU
***