ascopubs.org

A new unsupervised clustering algorithm applied to genome-wide profiles of breast cancers in The Cancer Genome Atlas proper subsets triple-negative samples.

Case-control study of PD-1, PD-L1, and B7-H3 expression in human immunodeficiency virus infected (HIV+) and uninfected patients with head and neck cancers. This is an ASCO Meeting Abstract from the ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
manilatimes

MicroCloud Hologram Inc. Develops Neural Network-Based Quantum-Assisted Unsupervised Data Clustering Technology

SHENZHEN, China, May 16, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO” or the "Company"), a technology service provider, announced the development of a neural network-based ...
VentureBeat

The business value of clustering algorithms

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A single type of machine learning algorithm can be used to identify fake ...
Your Story

Unsupervised Learning

Unsupervised learning is a powerful type of machine learning where algorithms analyse and find patterns in data without any human intervention or prior knowledge of categories. Unlike supervised ...

Understanding intrinsically disordered protein regions and their roles in cancer

Every function in a cell is associated with a particular protein or group of proteins, typically in a well-defined ...
VentureBeat

Supervised vs. unsupervised learning: What’s the difference?

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At the advent of the modern AI era, when it was discovered that powerful ...