Quantifying Bone Collagen Fingerprint Variation Between Species.

Collagen is the most ubiquitous protein in the animal kingdom and one of the most abundant proteins on Earth. Despite having a relatively repetitive amino acid sequence motif that enables its triple helical structure, in type 1 collagen, that dominates skin and bone, there is enough variation for its increasing use for the biomolecular species identification of animal tissues processed or degraded beyond the amenability of DNA-based analyses. In recent years, this has been most commonly achieved through the technique of collagen peptide mass fingerprinting (PMF) known as ZooMS (Zooarchaeology by Mass Spectrometry), applied to the analysis of tens of thousands of samples across over one hundred studies in the past decade alone.

Efficacy and Safety of Mechanical Thrombectomy in Distal Medium Middle Cerebral Artery Occlusion Ischemic Stroke Patients on Low-Dose Aspirin.

Background: Acute ischemic stroke (AIS) from distal medium vessel occlusion (DMVO) presents unique treatment challenges. Mechanical thrombectomy (MT) is emerging as a viable option for these patients, yet the role of pre-stroke aspirin treatment is unclear. This study evaluates the impact of pre-stroke low-dose aspirin on outcomes in DMVO patients undergoing MT.

Clinical outcomes of patients with unsuccessful mechanical thrombectomy versus best medical management of medium vessel occlusion stroke in the middle cerebral artery territory.

Background: Current randomized controlled trials are investigating the efficacy and safety of mechanical thrombectomy (MT) in patients with medium vessel occlusion (MeVO) stroke. Whether best medical management (MM) is more efficient than unsuccessful vessel recanalization during MT remains unknown.

Methods: This was a retrospective cohort study using data from 37 academic centers across North America, Asia, and Europe between September 2017 and July 2021.

The tumour histopathology "glossary" for AI developers.

The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treatment-predictive insights. However, effective translation of these computational methods requires computational researchers to have at least a basic understanding of histopathology. In this work, we aim to bridge that gap by introducing essential histopathology concepts to support AI developers in their research.

Bacillus Calmette-Guerin (BCG) infections following intravesical BCG immunotherapy: a systematic review protocol.

Background: Although intravesical Bacillus Calmette-Guerin (BCG) immunotherapy usually exhibits a favorable safety profile, it can lead to the development of BCG infections, both localized and disseminated. Understanding of BCG infections following intravesical BCG immunotherapy is limited because of the lack of consensus definitions of BCG infections and limited post-instillation follow-up. We aim to perform a systematic review of the literature of BCG infections following intravesical BCG immunotherapy to elucidate the epidemiology, risk factors, and outcomes of BCG infections.