The Orphaned Resident and Graduate Medical Education Program Closures. [PDF]
Keneally RJ, Frazier HA.
europepmc +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
Perspectives on the US Graduate Medical Education Accreditation System in the Context of the Current Policy Climate. [PDF]
LaVanture D.
europepmc +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Decline in Applicants to Obstetrics and Gynecology Fellowships: Influence on Match Rates and Competitiveness. [PDF]
Humphries LA +6 more
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
In the footsteps of giants: a tale of legacy and discovery in medicine
Mateus Maggitti-Bezerril +1 more
doaj +1 more source
Reflections on Corporate Political Activity Taxonomies in the Context of Non-communicable Diseases and Mental Health Comment on "Corporate Political Activity: Taxonomies and Model of Corporate Influence on Public Policy". [PDF]
Collins T, Karapici A.
europepmc +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source

