NEC Patent Application for Estimation Device and System

The USPTO has published a patent application from NEC Corporation for an estimation device and system. The application, filed on December 3, 2025, describes a system that extracts feature amounts from gait waveforms to estimate a user's physical condition based on their attributes.

NEC Corporation Patent Application for Estimation Device

The USPTO has published a patent application from NEC Corporation for an estimation device. The application, filed on December 2, 2025, describes a system that extracts gait waveform features to estimate a user's physical condition based on their attributes.

Patent Application: Inferring Patient Condition Using Machine Learning

The USPTO has published a patent application (US20260088175A1) filed by Hill-Rom Services, Inc. The application details a machine learning system designed to infer a patient's condition using sensor data and response variable data. This technology aims to improve patient monitoring and diagnostics.

Patent Application: Model for Detecting Atrial Fibrillation and Sleep Apnea

The USPTO has published a patent application (US20260088174A1) for a method of establishing a model to detect atrial fibrillation and sleep apnea using machine learning. The application details a process involving training electrocardiograms, feature extraction, and symptom labeling.

Patent Application: Explainable AI for Medical Decisions

The USPTO has published a patent application (US20260088173A1) detailing methods and systems for evaluating the faithfulness of explainable AI in medical decision-making. The application focuses on fine-tuning classifiers and ensuring explainer model fidelity for downstream tasks.

Ophthalmic System and Behavior Modification Support Method Patent Application

The USPTO has published a patent application (US20260088172A1) for an ophthalmic system and behavior modification support method assigned to Topcon Corporation. The application describes a system involving patient and medical institution terminals to manage information sharing and communication, with a function to prompt behavior modification for disease treatment based on personality test results.

AGP Intelligent Interpretation and Insulin Adjustment Method

The USPTO has published a patent application from Northeastern University detailing an ambulatory glucose profile (AGP) intelligent interpretation and insulin adjustment method. This method utilizes an expert system to analyze patient data and provide decision support for basal and mealtime insulin adjustments.

AI-Based Radiomics Method for Predicting Disease Onset

The USPTO has published a patent application (US20260088170A1) detailing an AI-based radiomics method for predicting human disease onset using neural networks and color space analysis. The application, filed by Shubham Chandra, describes a non-invasive approach combining CNNs with CIELAB color space transformation for early disease detection and personalized diagnostics.

System and Method for Detection of Disease using Machine Learning

The USPTO has published a new patent application (US20260088169A1) detailing systems and methods for detecting systemic disease from bacterial samples using machine learning. The application, filed by inventors Mark Driscoll and Daniel Fasulo, focuses on correlating microbiome sequence data with disease states or risk.

Senior Living Engagement Platform Patent Application

The USPTO has published a patent application (US20260088168A1) for a senior living engagement and care support platform. The application, filed on December 3, 2025, describes a system designed to facilitate senior user engagement and provide updates to caregivers.