Michael D Feldman

Title: Michael D. Feldman: Innovator in Medical Image Analysis

Introduction

Michael D. Feldman is a distinguished inventor based in Wilmington, Delaware, with a commendable portfolio that includes six patents. His work significantly advances the field of medical image analysis, enabling better diagnostic tools for heart failure and other diseases.

Latest Patents

Feldman's recent innovations include a "Histomorphometric classifier to predict cardiac failure from whole-slide hematoxylin and eosin stained images." This invention encompasses methods and apparatus that utilize a deep learning convolutional neural network (CNN) to predict heart failure from whole-slide images (WSIs) of cardiac histopathology. The system comprises a pre-processing circuit to create a refined WSI, an image acquisition circuit to select non-overlapping regions of interest (ROIs), and a classification circuit to determine the likelihood of patient heart failure based on image-level probabilities.

Another prominent patent is related to a "system and method for accurate and rapid identification of diseased regions on biological images." This invention introduces a method for detecting relevant biological structures from low to high resolutions using probabilistic pairwise Markov models (PPMMs). It provides a fast, efficient computer-aided detection/diagnosis (CAD) system that enhances the ability to analyze medical images quickly and accurately, improving disease detection and treatment methodologies.

Career Highlights

Throughout his career, Michael D. Feldman has held positions at renowned institutions, such as Rutgers, the State University of New Jersey, and the University of Pennsylvania. His work at these universities has positioned him at the forefront of medical imaging research, allowing him to make significant contributions that impact patient care and diagnostic processes.

Collaborations

Feldman's collaborations with esteemed colleagues, notably Anant Madabhushi and John Tomaszewski, have fostered a creative environment essential for groundbreaking research in medical image analysis. These partnerships have enabled the development of innovative technologies that enhance disease diagnosis through advanced imaging techniques.

Conclusion

Michael D. Feldman's contributions to medical imaging inventions underscore his commitment to improving healthcare outcomes. With his impressive patent portfolio, he continues to inspire advancements that are essential in the fight against diseases, particularly in enhancing the early detection and diagnosis of heart failure and beyond.