Results 51 to 60 of about 9,882,534 (302)

European guidelines from the EHTG and ESCP for Lynch syndrome: an updated third edition of the Mallorca guidelines based on gene and gender

BJS (British Journal of Surgery), EarlyView., 2020
Recommendations for clinical and molecular identification of LS, surgical and endoscopic management of LS‐associated colorectal cancer and preventive measures for cancer were produced. The emphasis was on surgical and gastroenterological aspects of the cancer spectrum.
T. T. Seppälä, A. Latchford, I. Negoi, A. Sampaio Soares, R. Jimenez‐Rodriguez, L. Sánchez‐Guillén, D. G. Evans, N. Ryan, E. J. Crosbie, M. Dominguez‐Valentin, J. Burn, M. Kloor, M. von Knebel Doeberitz, F. J. B. van Duijnhoven, P. Quirke, J. R. Sampson, P. Møller, G. Möslein, on behalf of the European Hereditary Tumour Group (EHTG) and European Society of Coloproctology (ESCP)   +18 more
wiley   +1 more source

Gestational Hypoxia Disrupts Medial Ganglionic Eminence Progenitor Dynamics and Interneuron Development in Schizophrenia

Advanced Science, EarlyView.
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni, Qiancheng Zhang, Youhui Jiang, Huiying Yao, Chuqing Zhou, Xiaoyi Tian, Shiyingnan Gao, Jun Zhao, Xinyi Ren, Naxin Xu, Mengshan Fu, Liansheng Zhao, Xueyu Qi, Xueli Yu, Wanjun Guo, Sangmi Chung, Fan Guo, Tao Li   +17 more
wiley   +1 more source

Estimation of Uncertainty in Mortality Projections Using State-Space Lee-Carter Model

Mathematics, 2020
The study develops alternatives of the classical Lee-Carter stochastic mortality model in assessment of uncertainty of mortality rates forecasts. We use the Lee-Carter model expressed as linear Gaussian state-space model or state-space model with ...
Rokas Gylys, Jonas Šiaulys
doaj   +1 more source

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source

Debilitation's Aftermath: Stochastic Process Models of Mortality [PDF]

, 1986
The paper is devoted to the analysis of stochastic process models of mortality which can explain both selection and debilitation processes in the evolution of cohort mortality. The relative importance of each process is analyzed.
Vaupel, J.W., Manton, K.G., Yashin, A.I.
core   +1 more source

Chapter 1 Stochastic Epidemic Models

, 2019
This first chapter introduces some basic facts about stochastic epidemic models.We consider the case of a closed community, i.e. without influx of new susceptibles or mortality.
Pardoux, Etienne, Etienne Pardoux, Tom Britton, Britton, Tom,   +3 more
core   +1 more source

Interleukin‐39 is a Prognostic Biomarker and Therapy Target for Sepsis

Advanced Science, EarlyView.
Sepsis triggers a significant increase in IL‐39 production, with circulating levels markedly elevated and positively correlated with disease severity and poor clinical prognosis in sepsis patients. Mechanistically, macrophage‐derived IL‐39 activates the GP130 signaling pathway via a ligand‐receptor interaction, thereby fueling the pro‐inflammatory ...
Feng‐zhi Zhang, Hai‐jun Liu, Yan Yue, Jun‐jie Gao, Jin Zhang, Wen‐wu Zhang, Yun‐long Zhang, Wei‐hua Lu, Sheng‐wei Jin, Pu‐hong Zhang   +9 more
wiley   +1 more source

StMoMo: An R Package for Stochastic Mortality Modelling [PDF]

, 2015
In this paper we mirror the framework of generalised (non-)linear models to define the family of generalised Age-Period-Cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models ...
Kaishev, V. K., Villegas, A.M., Millossovich, P.   +2 more
core   +4 more sources

Mortality Forecasting: How Far Back Should We Look in Time?

Risks, 2019
Extrapolative methods are one of the most commonly-adopted forecasting approaches in the literature on projecting future mortality rates. It can be argued that there are two types of mortality models using this approach.
Han Li, Colin O’Hare
doaj   +1 more source

Stochastic frailty models for modeling and forecasting mortality

, 2021
In many countries life expectancy gains have been substantially higher than predicted by even recent forecasts. This is primarily due to increasing rates of improvement in old-age mortality not captured by existing models. In this paper we show how the concept of frailty can be used to model both changing rates of improvement and the deceleration of ...
openaire   +2 more sources