Results 141 to 150 of about 440,067 (322)
Brain dopamine metabolism in patients with Parkinson's disease measured with positron emission tomography. [PDF]
Klaus L. Leenders +8 more
openalex +1 more source
Integral and Light Dark Matter
The nature of Dark Matter remains one of the outstanding questions of modern astrophysics. The success of the Cold Dark Matter cosmological model argues strongly in favor of a major component of the dark matter being in the form of elementary particles ...
Casse, M. +4 more
core +1 more source
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley +1 more source
Evaluation of the 11CO2 Positron Emission Tomographic Method for Measuring Brain pH. I. pH Changes Measured in States of Altered PCO2 [PDF]
Richard B. Buxton +5 more
openalex +1 more source
Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar +3 more
wiley +1 more source
A one‐step multi‐component synthetic approach is reported to construct α‐aryl‐substituted DOTAs, which required tedious multi‐step synthesis in all previous works. The synthesized α‐aryl‐substituted DOTAs showed improved performance for developing multifunctional theranostics and represent a universal platform for bioconjugation. Abstract α‐Substituted
Pak‐Lun Lam +8 more
wiley +2 more sources
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Positron Emission Tomography and Its Role in Metabolic Imaging [PDF]
Michael M. Graham, T.K. Lewellen
openalex +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source

