BIOENGINEER

Bayesian Framework Merges Clinical Expertise With Machine Learning Diagnosis

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior knowledge, improving diagnostic performance across cervical, oral and ...
BIOENGINEER

Causal Machine Learning Enhances Mental State Detection from Low Channel EEG Signals

Researchers have integrated propensity score matching with machine learning to accurately identify student confusion and ...
The American Journal of Managed Care

Machine Learning–Based Classifier Accurately Identifies Ovarian Cancer

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Science Daily

Machine learning classifier accelerates the development of cellular immunotherapies

Making a personalized T cell therapy for cancer patients currently takes at least six months. Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for ...
Hackaday

bayesian classifier

The team from the Sensing, Interaction & Perception Lab at ETH Zürich, Switzerland have come up with TapType, an interesting text input method that relies purely on a pair of wrist-worn devices, that ...