Artificial Intelligence Comes of Age in the Fight Against Ca… : Oncology Times

Artificial Intelligence:

Artificial Intelligence

The SAS Virtual Health Artificial Intelligence (AI) Summit on Cancer Research1 was held this year to share best practices, ongoing challenges, and future opportunities for advancing cancer treatment through analytics. Innovations in applying computer vision to medical images and using machine learning (ML) to build predictive models may help clinicians assess therapeutic results more efficiently, thereby enhancing personalized approaches to cancer treatment.

AI is the application of digital devices and computers to enhance human intelligence.2 In this article, we focus on the use of AI to develop ML and deep learning (DL) models. Whereas ML is the subfield of AI using mathematical and statistical approaches to derive models from data, DL is a specific class of ML that leverages complex networks in its learning process (Figure 1).3

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Figure 1.:

Relationship Among AI, ML, and DL

Four Key Themes from the Summit

1. Applying Response Evaluation Criteria for Solid Tumors (RECIST 1.1) criteria to solid tumors involves measuring the largest diameter of a tumor, but tumor volume and morphology give a more comprehensive assessment of treatment response,4,5 so there is an opportunity to improve RECIST 1.1 with AI, ML, and DL.6 AI can determine volumetric changes in the three-dimensional morphology of cancers that are not simple spherical or elliptical structures, while eliminating subjectivity and observer variability7-10 and reducing time assessing tumor response. The combination of clinical data features, such as AI-assisted interpretation of test reports and longitudinal patient level data, can train DL and ML models to improve the diagnostic accuracy of radiographic studies.11,12

AI may also be used to give objective histopathological results, as in a recent study of patients with pancreatic cancer. Digitized, segmented images of tumors were used to segment residual tumor burden after

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US-China competitiveness monthly bill sparks fight over e-commerce

Industry groups and powerful organizations are battling above a bipartisan monthly bill that aims to crack down on the sale of counterfeit products on the web. 

Etsy, eBay and other e-commerce firms are lobbying lawmakers to strip the Shop Harmless Act out of the monthly bill to bolster U.S. competitiveness with China, warning that it would pressure most on the net marketplaces to shut down, leaving only a number of market giants like Amazon to dominate. 

The measure — which was integrated in Democrats’ Home-passed China competitiveness bill but not in the Senate’s bipartisan package — would open up on the web marketplaces to lawsuits above the sale of counterfeit items if they don’t comply with new restrictions demanding them to detect and take away knockoff goods from their internet site. 

Key manufacturers and their trade groups pushed Dwelling lawmakers to move the bill, arguing it is an powerful way to stop the continual increase of counterfeit merchandise on the internet amid the pandemic that undermine U.S. businesses and pose safety challenges to individuals. 

The two sides are gearing up for a conference committee, wherever Property and Senate lawmakers will craft the last China competitiveness invoice ahead of it goes to President BidenJoe BidenTrump tightens grip on RNC Leading overall health official to depart White Property On The Funds — Dwelling panel mulls long term of ‘stablecoin’ policies A lot more’s desk. 

Jeffrey Zubricki, the head of Etsy’s U.S. lobbying group, claimed that the Store Protected Act threatens the livelihood of small on the web sellers selling reputable merchandise. 

“In point, it would embolden commerce giants, hurt modest corporations and guide to a lot less preference for individuals,” he reported. “Etsy hopes that Congress will do as it promised and work with all stakeholders on a superior,

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