Results 141 to 150 of about 92,451 (286)
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Wellcome's 2019 funding for PhD programme training: An experiment in enhancing research culture. [PDF]
Carusi A.
europepmc +1 more source
This article describes the role of power in the world of biomedical research. On the basis of some examples, I intend to demonstrate the influence of power, or its misuse, on PhD students and supervisors, and how this may have a negative effect on the ...
Tijdink, J K; id_orcid
core
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Report on activities for the evaluation for the integration between PhD programmes of the partners.
openaire +1 more source
The Sister Libraries programme is an initiative of the IFLA Libraries for Children and Young Adults section. Launched in 2009, it enables children’s librarians in any country to find a sister library somewhere else in the world and build a collaborative ...
Rankin, C
core
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Background: Incorporating Public and Patient Involvement (PPI) into doctoral research is valued by PhD funders and scholars. Providing early career researchers with appropriate training to develop skills to conduct meaningful PPI involvement is important.
James Larkin (14520761) +7 more
core +1 more source
Revised regulations for the PhD programme
Grete Anita, Dyb +4 more
openaire +2 more sources

