A review of machine learning methods for cancer characterization from microbiome data.

Recent studies have shown that the microbiome can impact cancer development, progression, and response to therapies suggesting microbiome-based approaches for cancer characterization. As cancer-related signatures are complex and implicate many taxa, their discovery often requires Machine Learning approaches. This review discusses Machine Learning methods for cancer characterization from microbiome data.

Assessing the reliability of thermography to infer internal body temperatures of lizards.

For many years lizard thermal ecology studies have relied on the use of contact thermometry to obtain internal body temperature (T) of the animals. However, with progressing technology, an interest grew in using new, less invasive methods, such as InfraRed (IR) pyrometry and thermography, to infer T of reptiles. Nonetheless few studies have tested the reliability of these new tools.