Abstract: It is very important to predict the survival of patients with a brain tumour in order to provide better treatment and prognosis. The previously used techniques like the Cox Proportimal ...

BLANTYRE-(MaraviPost)-Castel Malawi Limited has replanted 2000 trees at Mudi catchment area in Ndirande, Blantyre, as part of efforts to restore the environment and support water conservation in the ...

Survival of the fittest. Nature red in tooth and claw. The common view of natural selection is based solely on the individual: A trait allows an organism to out-compete its rivals and is thus passed ...

Researchers have shed new light on the features that enable tree-dwelling mammals to move effectively through their environments, providing insights into the evolution of the distinct upright postures ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

From ‘Blade Runner’ to ‘Alien’, these sci-fi classics deliver worldbuilding tension and ideas that define everything the genre promises.

Janelle Brunton-Rennie says she went “from blissfully happy to completely terrified” after her husband’s cancer diagnosis.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Abstract: Tree survival prediction plays a crucial role in sustainable forest management and ecological restoration. This study proposes a Multi-Model Machine Learning Framework to predict tree ...