The study underscores that traditional statistical approaches, while valuable, often fail to capture the intricate relationships between environmental, temporal, and situational factors leading to ...

You have this convergence of crises,” says Dr. Angelle Desiree LaBeaud. Here’s what that means and how she and others are ...

The following is a summary of “Application of interpretable machine learning algorithm to predict lymph node metastasis in cutaneous malignant melanoma,” published in the April 2025 issue of ...

Experts say this summer may see a spike in tick-borne diseases in Connecticut due to a higher acorn production which leads to ...

The trunk localization uses normal vector features to eliminate non-trunk slice points ... method on eight sample plots representing various complexities and forest types. For tree trunk localization, ...

Researchers have found in a new study that Machine learning shows promise in predicting treatment outcomes in early childhood ...

The head of Turkey's parliament and Iran, along with a Turkish parliamentary representative, highlighted the stability in ...

To describe the forest’s behavior, the researchers used physics — quantum field theory to be more precise. In this context, ...

An international study has revealed spruce trees not only respond to a solar eclipse but actively anticipate it by ...

Remarkable research has unlocked new understanding of the mysterious ways trees communicate and share knowledge with each ...

For the first time, scientists have discovered fossil evidence of an endangered, living tropical tree species. The ...

Spruce trees retain ancient memories of their environment and communicate with one other in the hours preceding a solar ...