Jacqueline Tabler emphasises the challenges of connecting molecular changes to tissue structure and highlights the potential of multifractal frameworks to quantify complex biological patterns, ...

Osteoporosis is a serious condition affecting millions worldwide. While available treatments can slow the condition's progress, there's no way to reverse or cure the condition. Current treatments also ...

Single-cell transcriptomics data from mouse bone-relevant cells was used to inform human bone mineral density genome-wide association studies and prioritize genetic targets with potential causal roles ...

OTTAWA — First Nations leaders on Tuesday unveiled five items repatriated to their communities after being held at the Vatican for more than a century.

Osteoarthritis is usually framed as the price of just getting older. Many people imagine a knee that slowly wears down, then never recovers. That picture is familiar, yet it is too simple.

Radiomics extracts quantitative data from medical images, but its role in predicting deterioration after traumatic brain injury (TBI) remains uncertain. Now, researchers have analyzed pre-evacuation ...

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

Orthocell is taking Remplir into the huge US market, where even a tiny slice of the market could push the company toward profitability.

For years, we suspected that Alvarezsaurids underwent a rare process of evolutionary miniaturization directly coupled to a ...

As demand for joint replacement procedures continues to rise, University Hospitals Portage Medical Center is expanding advanced orthopedic capabilities designed to improve both the patient experience ...

A cube of healthy bone is anything but solid. Inside it, countless tiny channels carry fluid and help cells move, feed, and ...

Abstract: Bone cancer diagnosis remains a critical challenge due to the intricate nature of medical imaging data and the need for precise interpretation. This study introduces a machine learning ...