Tag: AI

Paige.AI Lands $25 Million Series A Financing and 25 Million Slides from Memorial Sloan Kettering

| February 8, 2018 | 0 Comments

25 million slides in an exclusive relationship with MSK and 25 million dollars in funding are some big numbers.  Paige.AI, a new company focused on revolutionizing clinical diagnosis and treatment in oncology through use of artificial intelligence (AI), recently announced two major milestones: Paige.AI signed a comprehensive license agreement with Memorial Sloan Kettering Cancer Center (MSK) to gain […]

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Techcyte and Motic Partner to Provide a Next Generation Digital Pathology Solution

| January 23, 2018 | 0 Comments

Deep machine learning platform and world-class scanning hardware combine for a complete digital pathology solution for veterinary, human and air quality labs OREM, Utah – Techcyte Inc., a provider of deep learning image analysis solutions, and Motic, a leading provider of whole slide scanners, today announced the two companies will be cooperating to provide advanced solutions […]

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Leica Biosystems to Advance Artificial Intelligence in Pathology as part of UK Life Sciences Sector Deal

| December 21, 2017 | 0 Comments

The United Kingdom continues adoption of digital pathology including this latest news between Leica Biosystems and the UK government in Leica’s latest announcement of leveraging artificial intelligence through the UK Office of Life Sciences.  Newcastle, UK, Dec 21, 2017 – A transformative sector deal was announced between companies of the UK life sciences sector and […]

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Corista to Host Seminar on Digital Pathology and the Emerging Role of Artificial Intelligence

| July 23, 2017 | 0 Comments

Alexander Baras, M.D., Ph.D. of Johns Hopkins to join company experts at APC presentation Corista, a leader in integrated pathology solutions, is hosting a multi-part seminar on digital pathology and artificial intelligence Tuesday, July 25, during the Association of Pathology Chairs’ Jubilee Meeting in Washington, DC. The seminar features Dr. Alexander Baras from Johns Hopkins […]

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A.I Versus M.D. – Part 2

| July 16, 2017 | 0 Comments

In April I wrote a post entitled A.I. Versus M.D. – Either Way – Pathologists Do Not Diagnose Cancer – Part 1. This was followed by a guest post by David West, CEO, Proscia, entitled AI vs MD – What it Means for Pathology in May where David, among many issues points out the use […]

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Will Robot Surgeons Provide Better Clinical Histories?

| July 7, 2017 | 0 Comments

Berci Mesko, MD, PhD, The Medical Futurist, a self-proclaimed “geek physician with a PhD in genomics and Amazon Top 100 author” who envisions “the impact of digital health technologies on the future of healthcare, and helps patients, doctors, government regulators and companies make it a reality” recently shared this infographic on Twitter. Berci has a lot […]

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How to Use Deep Learning AI for Context-Intelligent Image Analysis – Join Our Webinar on June 1st

| May 19, 2017 | 0 Comments

Recent advances in artificial intelligence (AI) show great promise in several fields of medicine. In particular, the field of Deep Learning is enabling the development of expert-level automated algorithms. Successful applications include AI-supported diagnosis of melanoma based on pictures of skin lesions and diabetic retinopathy in images of the retina. Human expert judgement augmented by […]

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Guest Post: AI vs MD – What it Means for Pathology

AI vs MD: What it means for Pathology By David West, CEO, Proscia Will computers replace doctors? It’s the question on everyone’s mind when reading Siddhartha Mukherjee’s article in the New Yorker “AI vs MD”, which pits human doctors against computers. It’s a beautifully composed summary on the role of software algorithms in healthcare, examining […]

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Proscia Takes on Subjectivity in Pathology Through AI Innovation

| April 27, 2017 | 0 Comments

Proscia continues to demonstrate the potential for its technology demonstrating agreement between its algorithms and pathologist reads in detection and classification of breast cancer. Proscia Inc., a data and analytics solutions provider for digital pathology, today announced their digital pathology technology has the potential to eliminate subjectivity in the detection and classification of breast cancer. Using […]

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