|
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
Contributor(s): Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
|
|
Predictive Model for Post Surgery Prostate Cancer Recurrence
Application
An artificial intelligence based prognostic model for early Biochemical recurrence (BCR) risk assessment of men post-radical prostatectomy.
Key Benefits
Identifies significant features, including tumor-infiltrating lymphocytes (TIL), in prostate cancer recurrence.
Market Summary
Prostate cancer is one of the most diagnosed cancers...
Published: 3/2/2026
Contributor(s): Sebastian Medina, Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
|
|
CDEAR Manager: Control Drug Electronic Administration Records
Application
Controlled substance inventory management software for pharmacies.
Key Benefits
Helps pharmacy personnel maintain accurate records of controlled substance transactions.
User-friendly application that limits calculation errors and eliminates the reliance on potentially cumbersome handwritten logs.
Designed to improve the workflow of...
Published: 2/24/2026
Contributor(s): Vadim Gluzman, Mykhailo Ivanov
|
|
AI Model for Extracting Patterns from EMG Data
Application
Aritificial neural network-based dynamical systems modeling on electromyography (EMG) data for simultaneously estimating de-noised, high-resolution muscle activation signals across multiple muscles with millisecond-timescale precision.
Key Benefits
Generates models that produce estimates that avoid trivial output solutions (e.g., replicating...
Published: 1/20/2026
Contributor(s): Lahiru Wimalasena, Chethan Pandarinath, Mohammad Reza Keshtkaran
|
|
Efficient Combinatorial Optimization
Application
Optimization heuristic for solving large-scale combinatorial problems.
Key Benefits
Efficient exploration of highly non-convex instances.
Capable of handling large-scale problems.
Reduces total computation time through massive parallelization.
Especially designed for unconstrained binary problems.
Market Summary
The combinatorial...
Published: 3/11/2026
Contributor(s): Stefan Boettcher
|
|
Autonomic Formation of Wireless Mesh Networks (WMN)
Application
Autonomical control of the formation of WMNs to enable node density control, frequency diversity and cooperative, multi-domain software-defined networking (SDN) on large-scale wireless mesh networks.
Key Benefits
Enhanced capacity of wireless mesh networks.
Robust to changes in nodes (new nodes going up, old nodes going down, etc.).
Enables...
Published: 9/3/2025
Contributor(s): Sergio Luis Dias Lima Gramacho, Avani Wildani
|
