Results 221 to 230 of about 84,173 (293)

Volumetric analysis of root coverage with porcine acellular dermal matrix: Case study

Clinical Advances in Periodontics, EarlyView.
Abstract Background Gingival recession is prevalent and often treated with coronally advanced flap plus connective tissue graft (CAF+CTG). Porcine acellular dermal matrix (PADM) offers a donor‐site‐free alternative. Contemporary digital imaging allows minimally invasive, three‐dimensional (3D) soft‐tissue assessment. This case report quantified 3D soft‐
Edgar Daniel Vargas‐Quiroga, Giovanna Fernanda Favero da Silva, Bruna Santos Honorio Tonin, Arthur Belém Novaes‐Jr, Marilia Bianchini Lemos Reis   +4 more
wiley   +1 more source

Spatial Epidemiology of Clinical Forms of Cutaneous Leishmaniasis and Treatment Practice: Evidence from Leishmaniasis Research and Treatment Center, Northwest Ethiopia. [PDF]

Iran J Parasitol
Gashaw B, Yizengaw E, Nibret E.
europepmc   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

Spatial Epidemiology of Signet-ring Cell Colorectal Cancer in India. [PDF]

Saudi J Med Med Sci
Kazi M, Patel H, Choudhary N, Jain A, Dudhat S, Naik S, Desouza A, Saklani A.   +7 more
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Combining molecular transmission network analysis and spatial epidemiology to reveal HIV-1 transmission pattern among the older people in Nanjing, China. [PDF]

Virol J
Xu Y, Jiang T, Jiang L, Shi H, Li X, Qiao M, Wu S, Wu R, Yuan X, Wang J, Zhu Z.   +10 more
europepmc   +1 more source

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

British Journal of Clinical Pharmacology, EarlyView.
Christina Gao, Ashley M. Hopkins, Andrew Rowland, Stephen Bacchi   +3 more
wiley   +1 more source

The SIR Model in a Moving Population: Propagation of Infection and Herd Immunity

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT In a collection of particles performing independent random walks on Zd$\mathbb {Z}^d$ we study the spread of an infection with SIR dynamics. Susceptible particles become infected when they meet an infected particle. Infected particles heal and are removed at rate ν$\nu$.
Duncan Dauvergne, Allan Sly
wiley   +1 more source

Turnaround Time Trends in Cervical Cytology Screening in South Africa, 2005–2023

Diagnostic Cytopathology, EarlyView.
ABSTRACT Background Timely cervical cytology results are crucial for effective screening and early management of precancerous lesions. However, many low‐ and middle‐income countries face delays in turnaround time (TAT). This study assessed TAT for cytology screening results in South Africa from 2005 to 2023 and identified factors associated with TAT ...
Sizeka Mashele, Nditsheni Nethavhakone, Matshediso Mohlala, Peace Ayeni, Johannes Molomo, Judith Mwansa‐Kambafwile, Jaimie Shing, Julia Bohlius, Mazvita Muchengeti   +8 more
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source