Results 111 to 120 of about 36,586 (262)

Cell Blocks and the Milan System for Reporting Salivary Gland Cytopathology: A Meta‐Analysis

Diagnostic Cytopathology, EarlyView.
ABSTRACT Background The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) is a classification system first released in 2018. It provides a standardized categorization for salivary gland lesions. Cell blocks can be prepared from fine‐needle aspirations (FNAs) and can be utilized for the diagnostics of salivary gland lesions.
Aada Närhi, David Kalfert, Henri Lagerstam, Ivana Kholová   +3 more
wiley   +1 more source

Investigations Into the Metabolism and Elimination of Tesofensine in Human Urine

Drug Testing and Analysis, EarlyView.
This study investigated tesofensine metabolism and urinary elimination after a single 483 μg intake via a dietary supplement. In six volunteers, urine was collected up to 659 h. LC‐HRMS/MS identified four tentative metabolites; maximum urinary concentrations reached 4 ng/mL within 4–48 h.
O. Krug, A. Thomas, M. Thevis
wiley   +1 more source

The use of orthopedic surgical devices for forensic identification: A systematic review. [PDF]

Acta Biomed, 2022
Bukhamseen AH, Aldhameen AA, Alzayyat NT, Alqadeeb MM, Alotaibi BK, Aljohani RI, Menezes RG.   +6 more
europepmc   +1 more source

Detection of Testosterone Esters in Urine: Evidence of Trace‐Level Detectability in Doping Control Samples

Drug Testing and Analysis, EarlyView.
An ultrasensitive LC‐MS/MS method for detecting testosterone esters (T‐esters) in urine at sub–pg/mL levels is presented. This approach, employing Girard P derivatization, provides the first evidence of T‐esters' trace‐level detectability in human urine.
Daniel Pecher, Guro Forsdahl, Biljana Stojanovic, Günter Gmeiner   +3 more
wiley   +1 more source

Aadhar Number Marking on Surgical Plate for Forensic Identification. [PDF]

Cureus, 2022
Prakash R, Colvenkar S, Alwala AM, Katkuri S, Ahmed MS.   +4 more
europepmc   +1 more source

Reproducibility of Serum Androgen Concentrations by Liquid Chromatography Mass Spectrometry in Healthy Male and Female Athletes

Drug Testing and Analysis, EarlyView.
Box and whiskers plots show the distributions of serum testosterone (T), dihydrotestosterone (DHT), androstenedione (A4), and the ratios of T/FDHT and T/A4. ABSTRACT Detection of androgen doping relies on mass spectrometry‐based methods to detect natural endogenous and exogenous androgens in urine and serum. To distinguish exogenous administration from
D. J. Handelsman, S. Bermon
wiley   +1 more source

Advances in microbial metagenomics and artificial intelligence analysis in forensic identification. [PDF]

Front Microbiol, 2022
He Q, Niu X, Qi RQ, Liu M.
europepmc   +1 more source

Understanding Consumption of Illicit Drugs and New Psychoactive Substances in Australia by Triangulating Drug Checking and Wastewater‐Based Epidemiology

Drug Testing and Analysis, EarlyView.
First Australian study combining wastewater‐based epidemiology and drug checking, demonstrating how complementary data sources enhance monitoring of illicit drugs and emerging psychoactive substances during high‐use periods. ABSTRACT Consumption of psychotropic drugs is a major economic and public health challenge in Australia.
Muhammad Usman, Malcolm McLeod, Dhayaalini Nadarajan, Joseph Clokey, Pritesh Prasad, Rory Verhagen, Benjamin Tscharke, Maurizio Quinto, Richard Bade   +8 more
wiley   +1 more source

Micro‐QuEChERS Extraction for Broad‐Spectrum LC‐QQQ‐MS Quantification of Nitazene Analogs in Plasma: A Validated Method With Casework Application

Drug Testing and Analysis, EarlyView.
Micro‐QuEChERS sample preparation coupled to LC‐QQQ‐MS enabled sensitive quantification of nitazene analogs in 100 μL of plasma. The validated method provided low detection limits and was successfully applied to an authentic intoxication case involving N‐pyrrolidino protonitazene, supporting clinical and forensic toxicology workflows.
Karla A. O. Souza, Náthaly C. B. F. Santos, Rafael Lanaro, Sara E. Walton, Alex J. Krotulski, Barry K. Logan, Mauricio Yonamine, Jose Luiz Costa   +7 more
wiley   +1 more source

A comprehensive review for machine learning based human papillomavirus detection in forensic identification with multiple medical samples. [PDF]

Front Microbiol, 2023
Yao H, Zhang X.
europepmc   +1 more source