Stephen Sf Yip

Title: Stephen Sf Yip and Multimodal Cancer Prediction

Introduction

Stephen Sf Yip is an inventor associated with Randolph, Massachusetts. His patent work includes a multimodal approach to predicting cancer by combining image analysis with interpretable features and machine-learning methods.

Latest Patents

Yip is associated with 1 patent, titled “Multimodal System and Method for Predicting Cancer.” The disclosed method processes images captured from one or more patients. A convolutional neural network identifies non-interpretable features in the images and generates one set of output values, while a machine-learning model processes interpretable image features to generate another. A fully connected network then combines these outputs to produce information relevant to a cancer prediction.

Career Highlights

Yip is associated with Janssen Research & Development, LLC. His patent reflects work at the intersection of medical imaging, artificial intelligence, and cancer prediction.

Collaborations

The listed coworkers associated with Yip include Pooya Mobadersany and Jose Zamalloa. The patent’s multimodal design brings together image-based neural-network analysis and machine learning to support cancer prediction.

Conclusion

Stephen Sf Yip’s patent describes a multimodal method that combines image-derived features and machine-learning outputs to inform cancer prediction.