Prognica Labs partners with Ajman University to boost Higher Education in UAE

January 16, 2020, Dubai – Prognica Labs, an AI based healthtech company, has announced a collaborative research and education agreement with Ajman University (AU), an internationally recognized institution of higher education and research in UAE, to advance research and innovation in Medical and Technology.

In today’s economic environment, collaboration between universities and industry is increasingly perceived as a vehicle to enhance innovation through knowledge exchange, according to Dr. Kamran Arshad, Dean of Graduate Studies and Research, AU. “This Industry-University collaboration provides the perfect foundation for innovation.”

University-Industry partnerships are becoming increasingly important to help students gain the leadership and entrepreneurial skills needed to create innovation and generate solutions to emerging social challenges of the 21st century, he added.

This collaboration is meant to give a boost to knowledge exchange and transfer in the area of engineering, medical science, technology innovation and entrepreneurship. It is also intended to mentor students and faculty, empower and implement their ideas. – Dr. Arshad stated.

Writing research papers and/or research-based books that can be published on various journals, conducting seminars, cohorts, idea competitions for students and faculty, are further realms of this partnership, he elaborated. “Young researchers will be receiving assistance in identifying the characteristics of the economic environment under this agreement.”

Dr. Arshad said factors, such as competition amongst emerging economies, and increasingly complex technological developments make the landscape simply too volatile.

“The university world can see the benefits of looking beyond the theoretical and taking an active role in overseeing the transfer of new knowledge into practical applications.”


Ajman University

Ajman University, the first private higher education institution in the gulf countries, has, for the second year in a row, earned a spot among the top 150 universities in the world under 50 years within QS World University Rankings of the ‘Top 50 Under 50’.

Ajman University, as per the 2020 QS World University Rankings issued in June 2019, is now ranked among the top 800 institutions worldwide, securing a position in the top 2.8% of universities worldwide and the top 1.7% of institutions in the Arab world.

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Khalid wins the “Technology Rising Star of the Year” award.

Oct 06, 2019. Dubai – Khalid Shaikh, Founder, CEO of Prognica Labs, has been named “Technology Rising Star of the Year” at the high-profile Future Enterprise Awards 2019 hosted by TahawulTech.

Khalid is working relentlessly towards a long term goal of making cancer screening and diagnostics more accurate, affordable and accessible by building an AI platform.

“I am excited to win this award, and could not have achieved it without all the hard work and dedication of a great team and the support of our advisors. The future is bright for Prognica as there are great products coming on the way and great opportunities for our technology all around the world.”

Healthcare as we know today has several problems.

  • The first one being that, the doctor-to-patient ratio is terribly low worldwide.
  • The doctors themselves are overworked and overstretched which may lead to the variability and subjectivity in the way that the diseases are diagnosed and treated.
  • And the quality medical equipments are quite expensive, which make it difficult for any organization to adopt the latest technology at scale.

“We at Prognica are trying to address these issues through data and intelligence. We are developing the next generation smart screening technology for medical image analysis that healthcare providers and patients can confidently rely on” says Khalid.

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Khalid Shaikh, participated as a judge at the Startup Battle

April 24, 2019. Dubai – Our CEO, Khalid Shaikh, participated as a judge at the Startup Battle by Startup.Network in Dubai. Startup Battle is a business-format event where selected entrepreneurs compete for the attention of VCs, Angels and corporate investors, bringing together the entire community to share ideas, collaborate across markets, and capitalize on emerging trends. The Startup Battle – Dubai, was held on Wednesday, April 24, is a competition for disruptive, early-stage companies who are creating, innovating or enhancing real-world systems technologies and applications.

I am honored to be invited by Startup.Network to be a part of Startup Battle judging panel, and to take part in this opportunity to support startups.
It feels exhilarating especially after interacting with the kind of founders with their startups and the contestants who have the ‘self-starter’ attitude.

For more information about the competition, please click here.

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Khalid Shaikh discusses the “Role of AI in Healthcare & Medical Education” at Pallazo Vercase, Dubai.

April 11, 2018. Dubai – The adoption of artificial intelligence in healthcare is on the rise and solving a variety of problems for patients, hospitals, medical education and healthcare industry overall.

Our CEO Khalid Shaikh shared the stage with additional experts conveying differing perspectives on artificial intelligence, the maturity and future of the technologies, and how developments in these areas affect healthcare industr at the ‘1st Annual International Conference on the Role of Artificial Intelligence in Healthcare and Medical Education’, at the Palazzo Versace Dubai, organised by Thumbay Group

The conference drew together expert speakers from the US, UK, Switzerland, UAE, India and Australia to discuss the scope, impact and opportunities of AI in healthcare and medical education.

His Highness Shaikh Mohammed Maktoum Juma Almaktoum, Chairman, MBM Groups, Dubai was the chief guest of the conference.

“There is some limited understanding of AI among the healthcare industry, but actually being able to implement it to solve problems and create opportunities is the real challenge,” Khalid said.

The other co-panelists include;

  • Prof. Hossam Hamdy – Chancellor, Gulf Medical University – Moderator
  • Dr. Ajit Nagpal, Chairman & Director General, Amity University Middle East Initiative
  • Dr. Ashok Gupta, – Recipient of The Padmashree award, Lifetime Achievement Award on Health and Philanthropy,
  • Mrs. Amina Al Saadi
  • Dr. P K Menon
  • Dr. Malligre Prassanassana

 

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Prognica featured in Innovation & Tech magazine

The Purpose

Cancer is usually characterized as a heterogeneous disease with different types and subtypes that involve uncontrolled cellular growth and reproduction. It is one of the leading causes of death in the developed and the developing world; almost a million people around the globe are losing the fight against cancer every year. The early diagnosis and prognosis of a cancer type have become inexorable in cancer research. In UAE, approximately 4500 new cases of cancer are reported every year, which equals to 12 new cases a day, according to Abu Dhabi Health Authority. Cancer is the third leading cause of death in UAE, after cardiovascular disease and accidents. Prognica, an AI powered health-tech startup, aims to improve clinical outcomes and accelerate the discovery of breakthrough advancements in the fight against cancer. Prognica analyses medical images and generates information and data to help predict and diagnose cancer using artificial intelligence and deep learning.

“Our goal is to develop intelligent, scalable and affordable disease screening solutions which can empower medical experts and facilitate quality healthcare delivery to the masses.”

 

The Technology

Our goal is to develop intelligent, scalable and affordable disease screening solutions which can empower medical experts and facilitate quality healthcare delivery to the masses. Our initial focus is on the solutions for the screening tests so that we can positively impact a larger population not only in UAE but the entire region. The company is now collaborating with few reputed healthcare providers and institution across UAE to develop its product.

The Challenges

The UAE healthcare sector poses two major challenges: Recruiting, educating and sustaining enough quality medical personnel and Medical costs According to HAAD projection report, Abu Dhabi will need 4,800 new doctors and 13,000 new nurses by 2022. And the Director General of the DHA estimated that Dubai will need 7,323 more doctors and 8,510 nurses over the next decade. The high cost of medical treatments and limited super specialized care in areas such as oncology and cardiology are driving outbound medical tourism.

The Solution and the Process

We have a clear vision: to reinvent cost effective disease management through early detection and intervention. We are tackling this long term goal by making cancer screening and diagnostics as accurate and accessible as possible, by using advanced analytics tools like image processing and deep learning, Natural Language Processing (NLP) to improve patient care, hospital administration, supply chain and logistic efficiencies. The process is to first digitize the sample slides through a microscope, scan whole slides and upload onto the cloud by converting the large image into a binary metadata. AI engine then takes over, which classify and tag the visual data, not only to churn out results, but also support it with visual evidence (like tagging & annotations) to make it easily verifiable. With the advancement of AI, as more and more new data keeps coming in, the machine continues to learn itself like humans. And it starts generating solutions. There is no need for a manual review by a pathologist by putting a slide under a microscope. Remote diagnosis is made possible, because the pathologist need not be sitting next to the microscope or blood slide. They can access from anywhere, anytime. Our method is primarily based on a convolutional neural network (CNN) and the Wide Res Net 50 residual network formulation. In our approach, we first trained the CNNs on a suitable set of test datasets. Then we applied the trained deep model to partially overlapping patches from each whole slide image (WSI) to create prediction heatmaps. By utilising machine learning on whole slide images (WSI), we have developed a prototype for automatic detection of metastasis in a lymph node. Our early results of detection were shown to have an accuracy of upto 73 percent. Our deep learning expert team and a pathologist is needed to work closely to translate the deep learning algorithms to digital pathology tasks. It is not that AI will entirely replace histopathologists, but rather it will provide increased efficiency and accuracy to the diagnosis, by providing a preliminary diagnosis much faster.

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Prognica featured in Gulf News Business

Source: Gulf News

Dubai-based AI-powered health care start-up — Prognica — is aiming to improve clinical outcomes and accelerate the discovery of breakthrough advancements in the fight against cancer.

Khalid Shaikh, founder and CEO of the company, told Gulf News that the process is to first digitise the blood sample slides through a microscope, scan the whole slides and upload onto the cloud by converting the large image into a binary metadata.

“The AI engine then takes over, which classify and tag the visual data, not only to churn out results, but also support it with visual evidence (like tagging & annotations) to make it easily verifiable. With the advancement of AI, as more and more new data keep coming in, the machine continues to learn by itself like humans. And it starts generating solutions,” he said.

There is no need for a manual review by a pathologist by putting a slide under a microscope, he said, adding that remote diagnosis is made possible, because the pathologist need not be sitting next to the microscope or blood slide. They can access from anywhere, anytime.

For example, if it takes 30 minutes to analyse the blood sample, the AI software will take eight to 10 minutes to analyse and will be more accurate.

According to Abu Dhabi Health Authority’s stats, cancer is the third leading cause of death in UAE, after cardiovascular disease and accidents. About 4,500 new cases of cancer are reported every year in the UAE, which amount to almost 12 new cases a day.

Prognica analyses medical images and generates information and data to help predict and diagnose cancer using artificial intelligence and deep learning.

“Our goal is to develop intelligent, scalable and affordable disease screening solutions which can empower medical experts and facilitate quality health care delivery to the masses. Our initial focus is on the solutions for the screening tests so that we can positively impact a larger population not only in UAE but the entire region,” he said.

The company is now collaborating with few reputed health care providers and institutions across UAE to develop its product.
Shaikh said that the UAE health care sector poses two major challenges — recruiting, educating and sustaining enough quality medical personnel; and medical costs.

Quoting a HAAD projection report, he said that Abu Dhabi will need 4,800 new doctors and 13,000 new nurses by 2022, while the Director General of the DHA estimated that Dubai will need 7,323 more doctors and 8,510 nurses over the next decade. Shaikh added that the high cost of medical treatment and limited superspecialised care in areas such as oncology and cardiology are driving outbound medical tourism. “We have a clear vision — to reinvent cost effective disease management through early detection and intervention. We are tackling this long term goal by making cancer screening and diagnostics as accurate and accessible as possible, by using advanced analytics tools like image processing and deep learning, Natural Language Processing (NLP) to improve patient care, hospital administration, supply chain and logistic efficiencies.” he said.

“Our method is primarily based on a convolutional neural network (CNN) and the Wide Res Net 50 residual network formulation. In our approach, we first trained the CNNs on a suitable set of test data sets. Then we applied the trained deep model to partially overlapping patches from each whole slide image (WSI) to create prediction heatmaps,” he said.

By utilising machine learning on whole slide images (WSI), he said that the company has developed a prototype for automatic detection of metastasis in a lymph node. “Our early results of detection were shown to have an accuracy of up to 73 per cent. Our deep learning expert team and a pathologist is needed to work closely to translate the deep learning algorithms to digital pathology tasks,” he said.

Even though there is a misconception that AI will lead to job losses, he said that it is not that AI will entirely replace histopathologists, but rather it will provide increased efficiency and accuracy to the diagnosis, by providing a preliminary diagnosis much faster.

“My software is focusing on algorithms and it will facilitate the pathologist’s task. The investor community is already enthused by the artificial intelligence in health care and many tech giants are already into AI of health care,” he said.
Shaikh said that he is investing Dh500,000 in the next six months and this project requires a huge investment. “I will be looking for two investment partners only after six to nine months,” he said.

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