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Cancer is the leading cause of death around the world and a key barrier in increasing life expectancy in almost every country. The World Health Organization estimates, between 2000-2019, cancer was the first or second leading cause of death before the age of 70 in 112 of 183 countries and ranks third or fourth in a further 23 countries.

For both sexes combined, one-half of all cases and 58.3% of cancer deaths were estimated to occur in Asia in 2020, where 59.5% of the global population resides. It is this part of the world which faces composite challenges in terms of cancer care: failure to translate policy and planning into action; resource constraints in terms of infrastructure and human resources; gaps in service availability; lack of spending on healthcare etc.

Emerging technologies are the fulcrum we need to bridge the healthcare divide in the continuum of care for cancer. Artificial intelligence ( AI) has emerged to be this game changer. AI-guided clinical care has the potential to play an important role in reducing health disparities, particularly in low-resource settings. Integration of AI technology in cancer care can improve the accuracy and speed of diagnosis, aid clinical decision-making, and lead to better health outcomes.

AI can play a key role in improving cancer screening, aid in the genomic characterization of tumours, accelerate drug discovery and improve cancer surveillance. Cancer is a complex and multifaced disorder with thousands of genetic and epigenetic variations. AI-based algorithms hold great promise to pave the way to identify these genetic mutations and aberrant protein interactions at a very early stage. Modern biomedical research is also focused on bringing AI technology to clinics safely and ethically.

Keeping in mind the alacrity of the diseases burden, the Centre for Fourth Industrial Revolution of the World Economic Forum India, has initiated a project Fourth Industrial Revolution for Sustainable Transformation (FIRST) of Cancer Care. The Indian Council of Medical research has projected that by 2025 India is expected to see a rise of 12% in the number of cancer cases, adding another 1.56 million to the disease burden.

The World Economic Forum was the first to draw the worlds attention to the Fourth Industrial Revolution, the current period of unprecedented change driven by rapid technological advances. Policies, norms and regulations have not been able to keep up with the pace of innovation, creating a growing need to fill this gap.

The Forum established the Centre for the Fourth Industrial Revolution Network in 2017 to ensure that new and emerging technologies will helpnot harmhumanity in the future. Headquartered in San Francisco, the network launched centres in China, India and Japan in 2018 and is rapidly establishing locally-run Affiliate Centres in many countries around the world.

The global network is working closely with partners from government, business, academia and civil society to co-design and pilot agile frameworks for governing new and emerging technologies, including artificial intelligence (AI), autonomous vehicles, blockchain, data policy, digital trade, drones, internet of things (IoT), precision medicine and environmental innovations.

Learn more about the groundbreaking work that the Centre for the Fourth Industrial Revolution Network is doing to prepare us for the future.

Want to help us shape the Fourth Industrial Revolution? Contact us to find out how you can become a member or partner.

The FIRST cancer care project focusses on leveraging emerging technologies like AI, internet of things (IoT) and blockchain, which can help provide accessible, affordable and quality healthcare in India. The strategy is being formulated by partners across government, clinicians, IT solution providers, academia and civil society organizations. Microsoft has been a key partner of the Forum, and this article highlights how the IT giant is using technology to face the cancer head on.

Microsoft is just one example which is changing the face of cancer care, likewise we see many start-ups which are coming forward to leverage this technology. As time progresses, we will see that by using an AI base system approach, researchers can collaborate in real-time and share knowledge digitally to potentially heal millions.

Written by

Keren Priyadarshini, Regional Business Lead, Worldwide Health, Microsoft Asia

Ruma Bhargava, Project Lead, Fourth Industrial Revolution for Health, India, World Economic Forum, C4IR India

The views expressed in this article are those of the author alone and not the World Economic Forum.

Excerpt from:
These AI projects are improving cancer screening and outcomes - World Economic Forum

Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance published today.

The report, Ethics and governance of artificial intelligence for health, is the result of 2 years of consultations held by a panel of international experts appointed by WHO.

Like all new technology, artificial intelligence holds enormous potential for improving the health of millions of people around the world, but like all technology it can also be misused and cause harm, said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. This important new report provides a valuable guide for countries on how to maximize the benefits of AI, while minimizing its risks and avoiding its pitfalls.

Artificial intelligence can be, and in some wealthy countries is already being used to improve the speed and accuracy of diagnosis and screening for diseases; to assist with clinical care; strengthen health research and drug development, and support diverse public health interventions, such as disease surveillance, outbreak response, and health systems management.

AI could also empower patients to take greater control of their own health care and better understand their evolving needs. It could also enable resource-poor countries and rural communities, where patients often have restricted access to health-care workers or medical professionals, to bridge gaps in access to health services.

However, WHOs new report cautions against overestimating the benefits of AI for health, especially when this occurs at the expense of core investments and strategies required to achieve universal health coverage.

It also points out that opportunities are linked to challenges and risks, including unethical collection and use of health data; biases encoded in algorithms, and risks of AI to patient safety, cybersecurity, and the environment.

For example, while private and public sector investment in the development and deployment of AI is critical, the unregulated use of AI could subordinate the rights and interests of patients and communities to the powerful commercial interests of technology companies or the interests of governments in surveillance and social control.

The report also emphasizes that systems trained primarily on data collected from individuals in high-income countries may not perform well for individuals in low- and middle-income settings.

AI systems should therefore be carefully designed to reflect the diversity of socio-economic and health-care settings. They should be accompanied by training in digital skills, community engagement and awareness-raising, especially for millions of healthcare workers who will require digital literacy or retraining if their roles and functions are automated, and who must contend with machines that could challenge the decision-making and autonomy of providers and patients.

Ultimately, guided by existing laws and human rights obligations, and new laws and policies that enshrine ethical principles, governments, providers, and designers must work together to address ethics and human rights concerns at every stage of an AI technologys design, development, and deployment.

To limit the risks and maximize the opportunities intrinsic to the use of AI for health, WHO provides the following principles as the basis for AI regulation and governance:

Protecting human autonomy: In the context of health care, this means that humans should remain in control of health-care systems and medical decisions; privacy and confidentiality should be protected, and patients must give valid informed consent through appropriate legal frameworks for data protection.

Promoting human well-being and safety and the public interest. The designers of AI technologies should satisfy regulatory requirements for safety, accuracy and efficacy for well-defined use cases or indications. Measures of quality control in practice and quality improvement in the use of AI must be available.

Ensuring transparency, explainability and intelligibility. Transparency requires that sufficient information be published or documented before the design or deployment of an AI technology. Such information must be easily accessible and facilitate meaningful public consultation and debate on how the technology is designed and how it should or should not be used.

Fostering responsibility and accountability. Although AI technologies perform specific tasks, it is the responsibility of stakeholders to ensure that they are used under appropriate conditions and by appropriately trained people. Effective mechanisms should be available for questioning and for redress for individuals and groups that are adversely affected by decisions based on algorithms.

Ensuring inclusiveness and equity. Inclusiveness requires that AI for health be designed to encourage the widest possible equitable use and access, irrespective of age, sex, gender, income, race, ethnicity, sexual orientation, ability or other characteristics protected under human rights codes.

Promoting AI that is responsive and sustainable. Designers, developers and users should continuously and transparently assess AI applications during actual use to determine whether AI responds adequately and appropriately to expectations and requirements. AI systems should also be designed to minimize their environmental consequences and increase energy efficiency. Governments and companies should address anticipated disruptions in the workplace, including training for health-care workers to adapt to the use of AI systems, and potential job losses due to use of automated systems.

These principles will guide future WHO work to support efforts to ensure that the full potential of AI for healthcare and public health will be used for the benefits of all.

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WHO issues first global report on Artificial Intelligence (AI) in health and six guiding principles for its design and use - World Health Organization

Dublin, June 28, 2021 (GLOBE NEWSWIRE) -- The "Technology Themes 2021 - Tracking Development of 3 Key Trends, 5G, Quantum Computing and Artificial Intelligence (AI)" report has been added to ResearchAndMarkets.com's offering.

5G, Quantum Computing and AI have been discussed at length for a number of years and the hype that surrounds them can lessen the understanding of real world impacts these themes are already having. This report aims to track their present position, explain their potential benefits and see where any issues have arisen. 2021 promises to be a significant year for all three industries.

Key Highlights

5G consists of the fifth generation of cellular technology and is built to enable faster mobile data speeds than previous 4G LTE and earlier technologies, providing the potential for revenue growth and lower customer churn. 5G will allow networks to be virtually sliced to provide a range of different service characteristics for different use cases. For example, ultra-reliable and low-latency communications (URLLC) will support use cases including virtual reality (VR) and augmented reality (AR), automated and remotely operated robotics, and many others. Meanwhile, massive machine-type communications (mMTC) will eventually support millions, and eventually billions, of sensors and meters that can provide value through data analytics and automation in use cases such as agriculture, healthcare, and public safety.

While widespread enterprise use remains years away, the hype around quantum computing (QC) continued to build in 2020, and with good reason. More people than ever are getting to grips with QC, with many companies now offering quantum cloud experiences for beginners and developers alike. Two separate organizations, Google and the University of Science and Technology of China (USTC), have claimed the quantum advantage, but practical use cases need to be proven in 2021 for the field to continue to attract investment.

AI is ubiquitous today. It can be found everywhere, from wearable tech to automated home devices, smart cities, cars, offices, and more. The technology is embedded in a range of systems, making it challenging to identify revenue explicitly generated by AI. GlobalData forecasts that the market for AI platforms will reach $52bn in 2024, up from $29bn in 2019. AI is one of the most hyped technologies, with reality often falling short of vendors' world-altering promises.

Scope

Story continues

Learn how AI is developing

See how quantum computing is becoming more mainstream

See how 5G is now ubiquitious

Understand what the major technology themes are and how they are developing

Reasons to Buy

What are the major themes developing in the technology sector?

How developed is the 5G network now?

Is quantum computing having a major impact?

What sectors has AI now developed into?

Key Topics Covered:

Executive Summary

5G is the fifth generation of cellular technology

Mobile network operator deployments are patchy

Mobile 5G subscription evolution

Mobile 5G revenue evolution

5G capabilities and use cases

Ultra-reliable and low latency communications (URLLC)

Massive machine-type communications (mMTC)

Quantum Computing

Artificial Intelligence

Appendix

For more information about this report visit https://www.researchandmarkets.com/r/7qp3yw

About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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5G, Quantum Computing and Artificial Intelligence (AI) Technology Development Trends Report 2021 - Yahoo Finance

SAN MATEO, Calif., June 28, 2021 /PRNewswire/ --LLENA (AI) Health Solutions Inc. today announced apartnership with Southern University in Baton Rouge, Louisianato support their "Center of Excellence for Nutrition, Health, Wellness, and Quality of Life" initiative to address diet-related health disparities in African Americans by increasing the capacities of 1890 institutions through nutrition research, teaching and extension.The Southern University Agricultural Research and Extension Center is one ofthe 1890 Centers of Excellence grantrecipients to receive funding from the U.S. Department ofAgriculture's National Institute of Food and Agriculture(USDA/NIFA). The 1890 Universities Foundation mobilizes and manages resources to facilitate broad based programs, initiatives and approaches across the 1890 universities system.

LLENA (AI) will provide artificial intelligence insights & targeted research in the areas of food insecurity, food deserts and COVID-19 in underserved and local communities under the direct leadership of Dr. Fatemeh Malekian, Professor of Food Science, Project Director and Director of the Southern Institute for Food, Nutrition, and Wellness at the SU Ag Center.LLENA (AI) will leverage its proprietary Artificial Intelligence (AI) that creates an individualized GI (glycemic index) value meal based on blood sugar, blood pressure and other preferences. African Americans remain the least healthy ethnic group in the USA. Diet is a key contributor to disparities in many chronic diseases and conditions.

Southern University alumnaand LLENA (AI) CEOCharlotta Carter is excited to empower her community. "As an HBCU grad, we areexcited to work with SUAREC to bring needed AI Technology fighting chronic illness in underserved communities. Working with Dr. Fatemeh Malekian on this pilot program, delivering real COVID proofsolutions is an amazing opportunity to give back. A multi-state university collaboration featuring training, education, business skills and podcasts while leveraging LLENA (AI) technology is ahomerun in fighting food insecurity & food deserts. LLENA (AI) is the key interface (Hub) to allow the community easy access to the resources needed to manage a healthy lifestyle. Thisinnovative nutritional outreach program is a giant step to help eradicate type 2 diabetes!"

About:

Southern University Agricultural Research and Extension Center

Southern University Agricultural Research & Extension Center Linking Citizens of Louisiana with Opportunities for Success. The SUAREC provides service to the citizens of Louisiana in a manner that is useful in addressing their scientific, technological, social, economic and cultural needs in order to enhance their overall quality of life.

Visit:https://www.suagcenter.com/

LLENA (AI) Health Solutions Inc.

Learn to Love Eating Nutritiously Always, LLENA (AI) Health Solutions Inc. is a digital diabetes management platform with personalized recommendations powered by proprietary artificial intelligence.https://llenafood.life

LLENA (AI) certification helps clients reach locally targeted consumers who are ready to eat healthy:https://llenafood.life/restaurant-registration/

SOURCE LLENA (AI)

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Artificial Intelligence Startup LLENA (AI) Health Solutions Inc. tackles food deserts, partners with Southern University to support (USDA/NIFA)...

The integration of artificial intelligence technology is about trust, and a responsible AI ecosystem is the foundation for that trust, Deputy Defense Secretary Kathleen H. Hicks said today.

Speaking virtually to the opening of the Defense Department's Artificial Intelligence Symposium and Tech Exchange, Hicks said DOD's operators must come to trust the outputs of AI systems; its commanders must come to trust the legal, ethical and moral foundations of explainable AI; and the American people must come to trust the values DOD has integrated into each of its applications.

"A key part of an AI-ready department is a strong data foundation," Hicks said. "Data enables the creation of algorithmic models, and, with the right data, we are able to take concepts and ideas and turn them into reality."

The deputy secretary said she recently set forth a series of data decrees for DOD that will help the U.S. achieve the AI superiority it needs.

"We will ensure that DOD data is visible, accessible, understandable, linked, trustworthy, interoperable and secure. To do so, I have directed key initial steps to ensure the department treats data as a strategic asset," she said, adding these steps set DOD on a solid foundation both ethically and organizationally.

"Today, I am proud to announce the DOD AI and Data Acceleration initiative, or ADA initiative. Its goal is to rapidly advance data and AI dependent concepts, like joint all-domain command and control, to the ADA initiative [to] generate foundational capabilities through a series of implementation experiments or exercises, each one purposefully building understanding through successive and incremental learning."

Hicks said each exercise pushes the boundaries of the one before, building on the knowledge gained. She said this represents a software engineering approach that will iteratively gain and expand capabilities to different lines of effort:

"Importantly, these events will be conducted in alignment with the busy combatant command experimentation and exercise cycle," Hicks said. "Through successive experiments, we seek to understand the obstacles and challenges that impair our current ability to rapidly scale AI across the department and the Joint Force."

As DOD completes these episodic exercises and experiments, it intends to leave behind capability, Hicks said. "True to our software engineering mindset, we aim to interactively gain capability and rapidly scale to other combatant command environments with similar challenges. This will ultimately produce data and operational platforms designed for real-time sensor data fusion, automated command-and-control tasking and autonomous system integration. It will allow data to flow across both geographic and functional commands."

Hicks said DOD's fourth line of effort will set the stage for advanced data management platforms consistent with the data decrees. These platforms will enable open data standard architecture and the production of scalable, testable and repeatable data workflows. This will facilitate cross-domain and cross-component experimentation and development. By generating centralized and scalable data, DOD will be accelerating the gains from leveraging AI, she explained.

The ADA initiative recognizes the challenges that DOD is facing and provides a systematized method to harness data and AI. It also creates a path forward for a mission space that has often appeared to be more rhetoric than action, Hicks said.

"You represent the department and its many partners who are rising to the competitive challenge of our future. [Secretary of Defense Lloyd J. Austin III] and I need your help to harness our innovation, build trust, modernize our processes, and serve our great nation," Hicks said, thanking the group for its efforts."

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Hicks Announces New Artificial Intelligence Initiative > US DEPARTMENT OF DEFENSE > Defense Department News - Department of Defense