Nature

Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach

Wildlife biologists increasingly use camera traps for monitoring animal populations. However, manually sifting through the collected images is expensive and time-consuming. Current deep learning ...

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
Nature

Detection and classification of brain tumor using a hybrid learning model in CT scan images

Abnormal cell growth, hormonal imbalance, and partial loss of vision are the symptoms of brain tumors. This tumor affects the body’s functions, including memory, emotions, vision, motor skills, ...
Medical Xpress

Using machine learning tools to detect gene mutations from leukemia cell images

Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the existence of gene mutations based on images of leukemia cells. To solve ...