Search Results - personalized+medicine

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Patient-Specific Organ Dose Quantification and Optimization for CT
RPI ID: 2020-032-401 Innovation Summary: A computational method enables quantification of organ-specific radiation dose during CT imaging and uses inverse optimization to adjust scan parameters accordingly. The system incorporates patient-specific anatomical models and dose-response data to guide personalized imaging protocols. It supports real-time...
Published: 3/10/2026   |   Inventor(s): Pingkun Yan, Birsen Yazici, Xie Xu
Keywords(s): AI workflow, Artificial Intelligence Radiology, Clinical Imaging, computed tomography (CT), CT dosimetry, CT Scanner, deep learning, Dosimetry, Imaging, medical imaging, Nuclear Medicine, Personalized Medicine, Radiology, X-Rays
Category(s): Biotechnology and the Life Sciences
AI-Driven Prognostic and Predictive Model for Muscle-Invasive Bladder Cancer
Application This AI-driven prognostic and predictive model aims to predict outcomes for muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemo-immunotherapy, aiding in treatment decision-making and patient stratification. Key Benefits Harnesses nuclear morphology and architectural features for precise prognostication in MIBC...
Published: 3/2/2026   |   Inventor(s): Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
Keywords(s): Algorithm, AI, and Machine Learning, Data Infrastructure and Analysis, Diagnostics, Molecular Diagnostics, Oncology Treatments, Personalized Medicine, Research Tools
Category(s): TechPub Algolia > Software
Precision Neo-Cysteine Molecular Glues to Restore Protein-Protein Interactions in Disease
Application Molecular glues designed to selectively bind mutated neo-cysteine residues and restore disease-disrupted protein–protein interactions (PPIs), offering a precision therapeutic approach for conditions such as cancer where loss or weakening of critical protein interactions drives tumor growth and progression. Key Benefits Provides...
Published: 3/2/2026   |   Inventor(s): Xiulei Mo, Haian Fu
Keywords(s): Oncology Treatments, Personalized Medicine, Protein and Peptide Therapeutics, Therapeutics
Category(s): TechPub Algolia > Drug Discovery
Non-invasive Diagnostic for Meningiomas
Application A non-invasive molecular diagnostic tool that reliably predicts the tumor characteristics and risk of recurrence of meningiomas. Key Benefits Combines meningioma gene expression data, construction of a gene interaction network, and tumor histology data to diagnose and predict clinical outcomes. Complete analytical handling from specimen...
Published: 1/28/2026   |   Inventor(s): Ali Alawieh, Youssef Ismail, Tomas Garzon-Muvdi
Keywords(s): Algorithm, AI, and Machine Learning, Biomarkers, Oncology Treatments, Personalized Medicine, Platform, Screening Assays
Category(s): TechPub Algolia > Diagnostics
Personalized Labor Progression Tracker for Diverse Body Types
Application A simple, inexpensive mobile application-based tracker for early detection of abnormal labor progression adjusted for maternal body mass index (BMI). Key Benefits Generates electronic visualization of labor progress based on maternal BMI. Informed by dataset of 118k+ individual pregnant women. Limits premature dystocia diagnosis,...
Published: 1/26/2026   |   Inventor(s): Nicole Carlson, Jeremy Neal, Nancy Lowe, Phillip Reed, Andrew Wagner, Sylvester Willis, Andrew Grexa, Matthew Southwell
Keywords(s): Mobile Apps, Patient and Support Education and Training, Personalized Medicine, Women's Health
Category(s): TechPub Algolia > Software
HomeTown: A Mobile App Guiding Care for Patients with Cancer Predisposition Syndromes
Application A mobile application to inform patients with cancer predisposition syndrome on the type and frequency of cancer screening and surveillance that they need. Key Benefits Focused on several cancer predisposition syndromes with an option to expand. Provides screening recommendations as per national guidelines, to hopefully allow for risk-reduction...
Published: 1/26/2026   |   Inventor(s): Bojana Pencheva, Morgan Greenleaf, Maren Parsell, Christopher Porter, Sarah Mitchell, Santiago Arconada Alvarez, Robert (Rob) Mannino, Wilbur Lam
Keywords(s): Mobile Apps, Oncology Treatments, Patient and Support Education and Training, Personalized Medicine
Category(s): TechPub Algolia > Software
Spherical Nucleic Acids with Sheddable PEG Layers for Enhanced Tumor Targeting
NU 2017-169 INVENTORS Chad Mirkin* (Northwestern University, Weinberg College of Arts and Sciences, Department of Chemistry, Director of the International Institute for Nanotechnology (IIN)) Brian Meckes Wuliang Zhang SHORT DESCRIPTION For oncology applications, this invention offers spherical nucleic acids with an enzyme-cleavable PEG layer...
Published: 12/9/2025   |   Inventor(s):  
Keywords(s): Biologic, Biomarker, Biomedical, Cancer/Oncology, Chemicals, Diagnostics, Drug delivery, Nanoparticle, Nanotechnology, Personalized medicine, Therapeutics
Category(s): Life Sciences > Therapeutics, Life Sciences > Healthcare Devices, Tools & IT, Life Sciences > Biomarkers & Biomedical Research Tools
Combinatorial Therapy for Preserving Muscle Mass During Weight Loss
Application A combinatorial therapy to preserve muscle mass during semaglutide weight loss treatment. Key Benefits Preserves lean mass during semaglutide treatment in preclinical mouse models. Increases overall fat loss without affecting food/water intake during semaglutide treatment in preclinical mouse models. Market Summary The prevalence...
Published: 3/10/2026   |   Inventor(s): Todd Golde, Yong Ran, Eric Krause, Annette De Kloet, Karen Scott
Keywords(s): Antibodies, Biologics, Drug Discovery, Drug Target Identification, Metabolic Disease Treatments, Musculoskeletal Treatments, Personalized Medicine
Category(s): TechPub Algolia > Therapeutics
Machine Learning to Predict Physiological Age Using Features Extracted From Arterial Blood Pressure (ABP) Waveforms (Case No. 2025-264)
Summary: UCLA researchers in the Department of Anesthesiology have introduced a novel machine learning model that accurately predicts physiological aging by analyzing features extracted from patients’ arterial blood pressure (ABP) waveforms. This approach enables efficient, data-driven assessment of biological aging in clinical settings to facilitate...
Published: 12/5/2025   |   Inventor(s): Maxime Cannesson, Ravi Pal
Keywords(s): Aging, Anesthesiology, biomedical sensors, clinical care methodology, clinical decision support, clinical outcome, Clinical tool, Computer-Aided Diagnosis, consumer health products, Digital Health, digital health system, Fatigue (Medical) , Health and fitness, health risk assessment, Machine Learning, machine learning modeling, Medical Device, Medical diagnostics, Monitoring (Medicine), personalized medicine, Preventive Medicine, public health monitoring, Smart medical device, Structural health monitoring, Telemedicine
Category(s): Diagnostic Markers, Diagnostic Markers > Aging, Life Science Research Tools, Medical Devices
Interactive Systems and Methods for Identifying Target Proteins in Drug Discovery (Case No. 2025-098)
Summary: UCLA researchers from the Department of Electrical and Computer Engineering have developed a novel computational system for target protein identification, enabling integrative drug discovery. Background: Target identification (Target ID) in drug discovery involves the identification and evaluation of protein candidates that could interact...
Published: 10/1/2025   |   Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang, Ziwen Li, Jesus Campagna, Varghese John, Whitaker Cohn, Eunice Jun
Keywords(s): AI-driven drug discovery, Alzheimer’s disease target discovery, Bioinformatics software platform, Drug, Drug Discovery, Functional annotation of proteins, High-throughput docking, large language models (LLMs), Ligand-protein docking, Mechanism-of-action prediction, Molecular docking simulation, Multi-criteria decision support, Neurodegenerative disease therapeutics, Pathway-centric drug targeting, personalized medicine, PPI-Comparator, PPI-Explorer, Protein structure prediction, Protein-protein interaction (PPI) analysis, Rational drug design, Retrieval-augmented generation (RAG), Semantic similarity modeling, Small molecule screening, Systems biology interface, Target identification (Target ID), Therapeutic impact modeling, User-guided AI exploration
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Life Science Research Tools, Life Science Research Tools > Research Methods, Platforms, Platforms > Drug Delivery
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