Results 71 to 80 of about 22,796,869 (307)

The challenges of purely mechanistic models in biology and the minimum need for a 'mechanism-plus-X' framework [PDF]

open access: yes, 2018
Ever since the advent of molecular biology in the 1970s, mechanical models have become the dogma in the field, where a "true" understanding of any subject is equated to a mechanistic description. This has been to the detriment of the biomedical sciences,
Ehsani, Sepehr
core   +1 more source

Kinetic analysis of drug release from nanoparticles [PDF]

open access: yes, 2008
PURPOSE. Comparative drug release kinetics from nanoparticles was carried out using conventional and our novel models with the aim of finding a general model applicable to multi mechanistic release.
Adibkia, Khosro   +8 more
core   +2 more sources

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn   +4 more
wiley   +1 more source

Quantitative Mechanistic Modeling in Support of Pharmacological Therapeutics Development in Immuno-Oncology

open access: yesFrontiers in Immunology, 2019
Following the approval, in recent years, of the first immune checkpoint inhibitor, there has been an explosion in the development of immuno-modulating pharmacological modalities for the treatment of various cancers. From the discovery phase to late-stage
Kirill Peskov   +6 more
doaj   +1 more source

Combining mechanistic and data-driven techniques for predictive modelling of wastewater treatment plants [PDF]

open access: yes, 2020
Mechanistic models are widely used for modelling of wastewater treatment plants. However, as they are based on simplified and incomplete domain knowledge, they often lack accurate predictive capabilities.
De Baets, Bernard   +3 more
core  

Flexible model selection for mechanistic network models

open access: yesJournal of Complex Networks, 2019
AbstractNetwork models are applied across many domains where data can be represented as a network. Two prominent paradigms for modelling networks are statistical models (probabilistic models for the observed network) and mechanistic models (models for network growth and/or evolution).
Chen, Sixing   +2 more
openaire   +4 more sources

Developmental Disorders in Children Recently Diagnosed With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag   +5 more
wiley   +1 more source

Influence of temperature, UV-light wavelength and intensity on polypropylene photothermal oxidation [PDF]

open access: yes, 2014
A criterion based on the energy absorbed by photosensitive species was proposed to describe the contribution of UV-light to the initiation of the polypropylene photothermal oxidation whatever the light source. The calculation of this energy was performed
COLIN, Xavier   +3 more
core   +4 more sources

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker   +7 more
wiley   +1 more source

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

open access: yesScientific Reports, 2019
Glioblastoma (GBM) is a heterogeneous and lethal brain cancer. These tumors are followed using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell invasion, impairing effective surgery and radiation planning.
N. Gaw   +17 more
semanticscholar   +1 more source

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