Proscia®, a leading provider of digital and computational pathology solutions, has released study results on new technology that leverages artificial intelligence (AI) to automatically detect melanoma, the deadliest form of skin cancer, with a high degree of accuracy. The findings illustrate the promise of AI to deliver faster diagnoses, improve patient outcomes, and optimize laboratory economics in the routine practice of pathology.
Proscia Announces Artificial Intelligence Breakthrough in Melanoma Detection
October 10, 2021 by Leave a Comment
Working Smarter: Leveraging Machine Learning to Optimize CO2 Adsorption
October 3, 2021 by Leave a Comment
In a recent study published in Environmental Science and Technology, a collaborative research team from Korea University and the National University of Singapore employed a machine learning-based approach that may guide the development of future porous carbon synthesis strategies. The scientists noted that there are three core factors influencing the CO2 adsorption properties in BWDPCs: the elemental composition of the porous solid, its textural properties, and the adsorption parameters at which it operates, such as temperature and pressure. However, how these core factors should be prioritized when developing BWDPCs has remained unclear, until now.
Coming Next in Smart Farming Agronomy —Digitizing the Microbiome
September 11, 2021 by Leave a Comment
In this contributed article, Bob Gunzenhauser, Agronomy Science Manager for Granular, part of Corte, explores how AI-driven tools are digitizing the soil microbiome and will eventually become another layer of data to drive precision farming. Bob shares his insights as a fifth generation farmer in Iowa who has been involved in the development of Decision Agriculture over the last 25 years, from its early days of yield monitors to today’s predictive analytics and crop modeling.
Webinar: Using Third-party Healthcare Data to Accelerate Drug Discovery and Clinical Trial Protocol Design
August 23, 2021 by Leave a Comment
[SPONSORED CONTENT] In this virtual session, AWS Data Exchange will host a panel discussion with thought-leaders from healthcare powerhouse companies like QIAGEN and IBM Watson Health. Learn about the critical role third-party datasets have played in the evolution of the healthcare and life sciences industry. FRIDAY, AUGUST 27 at 11AM PT | 2PM ET
AI Under the Hood: Object Detection Model Capable of Identifying Floating Plastic Beneath the Surface of the Ocean
June 17, 2021 by Leave a Comment
A group of researchers, Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, and Jay Lowe, have written a new paper “DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models.” The workflow described in the paper includes creating and preprocessing a domain-specific data set, building an object detection model utilizing a deep neural network, and evaluating the model’s performance.
JADBio Provides AutoML for BioMed Data
April 24, 2021 by Leave a Comment
JADBio is an AI startup company working with BioMed data. This remarkable team, headed by Prof. Ioannis Tsamardinos, has created an automated machine learning (AutoML) platform designed for life scientists. No Coding. No Statistics. No Math. No Problem … just add data.
Video Highlights: AI’s Role in Fight Against COVID-19
March 14, 2021 by Leave a Comment
Legal and compliance technology company, Relativity premiered its latest installment of its On the Merits documentary series, which aims to showcase how people use data for the greater good. This year’s documentary explores how AI was leveraged in the race for answers around COVID-19.
How Machine Learning and Data Science Can Advance Nutrition Research
February 24, 2021 by Leave a Comment
In this special guest feature, Kyle Dardashti, CEO & Founder of Heali, discusses how machine learning and data science bring exciting potential to the world of personalized nutrition. Combining these two technologies together on a cohesive platform that supports continuous tracking would allow for real-time validated nutrition recommendations tailored to an individual’s lifestyle.
We All Know about AI in Medicine By Now. Here’s Why It Really Matters.
January 10, 2021 by Leave a Comment
In this special guest feature, Eran Atlas, Co-Founder & CEO of DreaMed Diabetes, discusses how the rapid incorporation of artificial intelligence in medicine is no longer a novel trend, with more fields than ever developing improved solutions and protocols. Yet the intricacies of AI have often made it a difficult success story to explain to the average Joe. While AI’s huge leap forward has provided much needed clarity and assistance to medical decision-makers, its positive effects have not been as crystal clear for the general public, meaning patients and prospective patients, have no clue how it helps. This article details how AI in medicine helps and affects patients themselves, and not just the guys and gals wearing the white coats.
Scientists Publish the First Human Psychological Aging Clock Using Artificial Intelligence
December 17, 2020 by Leave a Comment
Scientists at Deep Longevity published the first set of psychomarkers of aging developed using deep learning to track the changes in human psychology and assess the effectiveness of interventions, life events, and external events. The new PsychoAge and SubjAge aging clocks were linked to mortality risk.
