Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Gastric cancer (GC) is a major health concern in many countries. Liquid biopsy analysis is also helpful for predicting the genomic status of both primary and metastatic lesions.
Recent reviews have emphasized the need for a health equity agenda in genomics research. Crucial public health activities also include engaging communities, building coalitions, improving genetic heal...
This research explores Learning to Prompt for Vision-Language Models, contributing new insights to the field of Artificial Intelligence.
This research explores Ensemble deep learning: A review, contributing new insights to the field of Artificial Intelligence.
This research explores Gastric cancer: ESMO Clinical Practice Guideline for diagnos..., contributing new insights to the field of Medicine & Biology.
This research explores Transformer-based unsupervised contrastive learning for hist..., contributing new insights to the field of Artificial Intelligence.
Psychoneuroendocrinoimmunology is the area of study of the intimate relationship between immune, physical, emotional, and psychological aspects. However, the molecules that participate in the communic...
In halide perovskite solar cells the formation of secondary-phase excess lead iodide (PbI 2 ) has some positive effects on power conversion efficiency (PCE) but can be detrimental to device stability...
The growing challenges on fuel economy improvement and greenhouse gas emission control have become the driving force for automakers to produce lightweight automobiles. Both the advantages and drawback...
Protein design aims to build novel proteins customized for specific purposes, thereby holding the potential to tackle many environmental and biomedical problems. AlphaFold prediction of ProtGPT2-seque...
This research explores Practical quantum advantage in quantum simulation, contributing new insights to the field of Physics & Space Science.
Abstract Physics-Informed Neural Networks (PINN) are neural networks (NNs) that encode model equations, like Partial Differential Equations (PDE), as a component of the neural network itself. The stud...
Classifier guidance is a recently introduced method to trade off mode coverage and sample fidelity in conditional diffusion models post training, in the same spirit as low temperature sampling or trun...
The role of immunotherapy is gaining ever-increasing interest in the neuro-oncological field, and this is also expanding to the management of intracranial meningioma. Seventy articles were included an...
This research explores International Journal of Special Education, contributing new insights to the field of Mathematics.
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is associated with a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 condition or long COVID....
This research explores Mitochondrial control of inflammation, contributing new insights to the field of Physics & Space Science.
Fifteen years have elapsed after the second edition of Practical Bifurcation and Stability Analysis was published.
This research explores Focal and efficient IOU loss for accurate bounding box regre..., contributing new insights to the field of Artificial Intelligence.
Michelle McMurry-Heath brings a wide-ranging background in medicine, immunology, research, and policy coordination to her current role as the chief executive officer for the Biotechnology Innovation O...