RSSCategory: Medical Research

Inspirata to Participate in Thought Leadership for Cancer Information Sharing at the Association for Pathology Informatics Annual Summit in Pittsburgh May 22-25

| May 22, 2017 | 0 Comments

Inspirata will showcase its Cancer Diagnostic Cockpit and Consultation Portal as well as present scientific findings on a system that mines relevant information in cancer case reports. Pittsburgh, PA, May 22, 2017 – Cancer diagnostics and pathology workflow solution provider Inspirata®, Inc. announced today that it is exhibiting in booth B2 at the Association for […]

Continue Reading

“Digital Pathology Stands to Reduce Cancer Misdiagnoses”

| May 21, 2017 | 0 Comments

With the ink dry about a month on the recent FDA approval of Philips Intellisite Pathology Solution (PIPS) for primary diagnosis, I came across this headline and others like it last week. Well known, respected pathologists and pathology informaticians at well-known cancer centers provided quotes for the articles. When you contribute to an article, you […]

Continue Reading

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 […]

Continue Reading

Webinar: Panoptiq Use Cases in Pathology

| May 16, 2017 | 1 Comment

Matthew G Hanna, M.D., Clinical Instructor of Pathology Informatics, University of Pittsburgh Wed, May 17th, 2017 2:00PM EST Join Dr. Matthew Hanna, MD, Pathologist and Clinical Instructor of Pathology Informatics at the University of Pittsburgh, as he discusses multiple use cases for Panoptiq. Panoptiq takes a software-based approach to digital imaging, and as such integrates […]

Continue Reading

What does FDA Approval Mean for the Digital Pathology Market? Part 1

| May 15, 2017 | 0 Comments

Much is being said, written and discussed about the recent FDA clearance for Philips digital pathology solution for primary H&E diagnosis. Of course, this means an advantage for Philips right now in the market as the only FDA approved whole slide imaging system for primary diagnosis. For groups and hospitals that appreciate the two main […]

Continue Reading

ASI’s HiPath™ For Computer-Assisted PD-L1 Interpretation

| May 12, 2017 | 0 Comments

HiPath™ Supports Pathologists with Advanced Image Analysis of PD-L1 Assays CARLSBAD, CA, May 11, 2017 — Applied Spectral Imaging (ASI), a global leader of computer-assisted microscopy, introduces HiPath imaging and analysis of PD-L1 assays. PD-L1 is seen as the current breakthrough therapeutic target in immuno-oncology. Following recent clinical advances, PD-L1 expression has become a key factor in […]

Continue Reading

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 […]

Continue Reading

Visiopharm Engages in Major Initiative for Deep Learning in Tissue Based Pathology

Hørsholm, Denmark, May 3rd – Visiopharm A/S announces the first result of their multifaceted strategy to apply Deep Learning technologies to its leading image analysis solution for cancer research and diagnostics. Visiopharm considers Deep Learning an important technological breakthrough for tissue pathology that offers the potential to make a real difference in the assessment of […]

Continue Reading

HALO® Deep Learning Technology Awarded for Automated Breast Cancer Metastasis Staging

Indica Labs proudly announces its breakthrough HALO® Deep Learning technology excelled in the CameLyon17 diagnostic image analysis competition.  The international challenge engaged commercial and academic teams worldwide to develop deep-learning algorithms to analyze 500 whole-slide H&E lymph node images and calculate TNM staging of 100 breast cancer patients. The HALO Deep Learning solution was the […]

Continue Reading

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 […]

Continue Reading

Indica Labs is Hiring!

| April 25, 2017 | 0 Comments

Application Scientist – West Coast Application Scientist – East Coast Company Indica Labs provides software solutions for fast, quantitative evaluation of digital pathology images using HALO, our flagship image analysis platform.  Pharmaceutical, healthcare, and research organizations worldwide are using HALO for high-throughput, whole-slide image quantification in areas such as neuroscience, ophthalmology, metabolism, oncology, respiratory and […]

Continue Reading

Dr. Michael Becich to Give Keynote Address “Towards A Digital Pathology Commons” at Pathology Visions 2017

| April 21, 2017 | 0 Comments

 KEYNOTE PRESENTER ANNOUNCED Michael J. Becich, MD, PhD Chairman and Distinguished University Professor University of Pittsburgh School of Medicine The DPA is pleased to announce that Dr. Michael Becich will give the Keynote Address entitled Towards A Digital Pathology Commons at Pathology Visions 2017.  Dr. Mike Becich is an experimental surgical pathologist who is focused on translational informatics. […]

Continue Reading

ContextVision Secures Large-Scale Data Source for Digital Pathology Research and Development

| April 6, 2017 | 0 Comments

STOCKHOLM – ContextVision, a medical technology company specializing in image analysis and artificial intelligence, has started a collaboration and signed an agreement with ALABplus, one of Poland’s largest provider of pathology services, to secure access to a significant amount of data for deep learning product development within digital pathology. “The present contract is extremely valuable for ContextVision as we […]

Continue Reading

The Motley Fool: Google AI Just Beat Human Pathologists at Detecting Cancer

| April 5, 2017 | 0 Comments

Apparently it is official…pathologists have been replaced by Google. Just like those folding maps, the yellow pages, the white pages, newspapers, racing forms, microfiche, books and other annoying analog nuances of daily life. The original story is of course not “just”, unless “just” means news going back a month as shown on CNN: Google uses AI to help diagnose breast cancer. […]

Continue Reading