Results 111 to 120 of about 7,134,173 (343)

Insulin glargine compared to neutral protamine Hagedorn (NPH) insulin in patients with type-2 diabetes uncontrolled with oral anti-diabetic agents alone in Hong Kong: a cost-effectiveness analysis

Cost Effectiveness and Resource Allocation, 2019
Background International guidelines recommend using basal insulin in patients with type-2 diabetes mellitus if glycaemic target cannot be attained on non-insulin anti-diabetic drugs.
E. Lau, A. Salem, J. C. N. Chan, W. Y. So, A. Kong, M. Lamotte, A. Luk   +6 more
doaj   +1 more source

Comparative Effectiveness and Cost Effectiveness of a Multitarget Stool DNA Test to Screen for Colorectal Neoplasia.

Gastroenterology, 2016
BACKGROUND & AIMS We developed a model to determine whether a multitarget stool DNA (MT-sDNA) test that detects colorectal cancer (CRC) and polyps with higher sensitivity and lower specificity, but at a higher cost, than the fecal immunochemical test ...
U. Ladabaum, A. Mannalithara
semanticscholar   +1 more source

Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias, Ana Oitabén, Sonia Zumalave, Bernardo Rodriguez‐Martin, María Gallardo‐Gómez, Martín Santamarina, Ana Pequeño‐Valtierra, Laura Juaneda‐Magdalena, Ramón García‐Escudero, José Luis López‐Cedrún, Máximo Fraga, José M. C. Tubio, Mónica Martínez‐Fernández   +12 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Setting health sector priorities: a brief overview of Ethiopia’s experience

Cost Effectiveness and Resource Allocation, 2018
As a country with significant resource constraints, a fair and efficient health priority setting should be at the cornerstone of Ethiopia’s commitment to attain universal health coverage by 2035.
Mahlet Kifle Habtemariam, Sentayehu Tsegaye Semegn   +1 more
doaj   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India

Cost Effectiveness and Resource Allocation, 2018
Background A variety of mobile-based health technologies (mHealth) have been developed for use by community health workers to augment their performance. One such mHealth intervention—ReMiND program, was implemented in a poor performing district of India.
Shankar Prinja, Pankaj Bahuguna, Aditi Gupta, Ruby Nimesh, Madhu Gupta, Jarnail Singh Thakur   +5 more
doaj   +1 more source

Cost-Effectiveness and Cost-Benefit Analyses for Public Health Programs [PDF]

, 1968
Warren Smith
openalex   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

The Cost Effectiveness of Remote Nuclear Reactor Siting [PDF]

, 1977
F. Niehaus, H.J. Otway
openalex   +1 more source