A new patent filing describes an AI driven 3D printer that could automate patient specific implant production with minimal human touch time.
LAUSANNE, Switzerland--(BUSINESS WIRE)--Neural Concept, the leading Engineering Intelligence platform that transforms product design with 3D Deep Learning, has announced that it has raised $27 million ...
Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited ...
Tripath (far right), which utilizes 3D deep learning and the whole tissue volume, is able to outperform the current clinical baseline (far left) and 2D deep learning baselines (middle) on cancer ...
Applied to apple and pear fruit, the model achieved very high accuracy, outperforming previous 2D approaches and traditional algorithms. The 3D structure of plant tissues underlies vital metabolic ...
An AI system called iSeg is reshaping radiation oncology by automatically outlining lung tumors in 3D as they shift with each breath. Trained on scans from nine hospitals, the tool matched expert ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
A leading expert in AI-driven healthcare innovation, Mahesh Recharla has proposed a new approach to identify Multiple Sclerosis (MS) and Alzheimer’s disease (AD) in their earliest, often asymptomatic ...
Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited ...
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