AIMC Journal:
Scientific reports
Showing 1461 to 1470 of 5369 articles
Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis.
Scientific reports
Nov 12, 2024
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure brain activity in health and disease. Performing behavioral tasks between the FDG injection and the PET scan allows the FDG signal to reflect task-re...
Facial Image expression recognition and prediction system.
Scientific reports
Nov 12, 2024
Facial expression recognition system is an advanced technology that allows machines to recognize human emotions based on their facial expressions. In order to develop a robust prediction model, this research work proposes three distinct architectural...
Public opinion mining in social media about Ethiopian broadcasts using deep learning.
Scientific reports
Nov 12, 2024
Now adays people express and share their opinions on various events on the internet thanks to social media. Opinion mining is the process of interpreting user-generated opinion data on social media. Aside from its lack of resources in opinion-mining ...
SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer.
Scientific reports
Nov 12, 2024
Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlighting the role of pharmacogenomics in developing better predictive models. We analyzed 379 CRC patients receiving fluorouracil-based chemotherapy, colle...
Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease.
Scientific reports
Nov 12, 2024
Recent advancements in hyperspectral imaging (HSI) for early disease detection have shown promising results, yet there is a lack of validated high-resolution (spatial and spectral) HSI data representing the responses of plants at different stages of ...
Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches.
Scientific reports
Nov 11, 2024
Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-related death globally. So, identifying potential molecular signatures and associated drug molecules are crucial for diagnosis and therapies of GBM. This st...
A medical disease assisted diagnosis method based on lightweight fuzzy SZGWO-ELM neural network model.
Scientific reports
Nov 11, 2024
The application of neural network model in intelligent diagnosis usually encounters challenges such as continuous adjustment of network parameters and significant cost in training the network facing numerous complex physiological data. To address thi...
B cell epitope prediction by capturing spatial clustering property of the epitopes using graph attention network.
Scientific reports
Nov 11, 2024
Knowledge of B cell epitopes is critical to vaccine design, diagnostics, and therapeutics. As experimental validation for epitopes is time-consuming and costly, many in silico tools have been developed to computationally predict the B cell epitopes. ...
Impact of different nephrectomy types on M0 renal cell carcinoma outcomes in a propensity score matching and deep learning study.
Scientific reports
Nov 11, 2024
There are few analyses comparing complete nephrectomy with resection of the renal parenchyma only (CN) or radical nephrectomy that includes simultaneous resection of the parenchyma, affected perirenal fascia, perirenal fat, and ureter (RN) relative t...
A novel benign and malignant classification model for lung nodules based on multi-scale interleaved fusion integrated network.
Scientific reports
Nov 11, 2024
One of the precursors of lung cancer is the presence of lung nodules, and accurate identification of their benign or malignant nature is important for the long-term survival of patients. With the development of artificial intelligence, deep learning ...
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