A5086018290- Spectroscopy Techniques in Biomedical and Chemical Research
- Spectroscopy and Chemometric Analyses
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Voice and Speech Disorders
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Lung Cancer Diagnosis and Treatment
- Digital Imaging for Blood Diseases
- Music and Audio Processing
- Business Process Modeling and Analysis
- AI in cancer detection
- Electrostatic Discharge in Electronics
- EEG and Brain-Computer Interfaces
- Advanced Memory and Neural Computing
- Machine Learning in Bioinformatics
- Nutritional Studies and Diet
- Speech and Audio Processing
- Software System Performance and Reliability
- Identification and Quantification in Food
- ECG Monitoring and Analysis
- Neural Networks and Reservoir Computing
- Biomedical Text Mining and Ontologies
- Modeling, Simulation, and Optimization
- Scientific and Engineering Research Topics
University of Sannio
2021-2024
The thyroid is an endocrine gland located in the anterior region of neck: its main task to produce hormones, which are functional our entire body. Its possible dysfunction can lead production insufficient or excessive amount hormone. Therefore, become inflamed swollen due one more swellings forming inside it. Some these nodules be site malignant tumors. One most used treatments sodium levothyroxine, also known as LT4, a synthetic hormone treatment disorders and diseases. Predictions about...
Parkinson's disease is one of the most common diseases nervous system, which although typically develops after age 50, in some cases it also affects younger individuals. Its diagnosis mainly based on analysis symptoms, movement, coordination, and muscle control. Doctors generally analyse tremors, stiffness, slow difficulty walking as symptoms disease. Furthermore, changes voice are very patients with disease, such not easily noticeable at an early stage. The can change your breathing, tone...
We investigated the possibility of using Raman spectroscopy assisted by artificial intelligence methods to identify liver cancer cells and distinguish them from their Non-Tumor counterpart. To this aim, primary (40 Tumor 40 cells) obtained resected hepatocellular carcinoma (HCC) tumor tissue adjacent non-tumor area (negative control) were analyzed micro-spectroscopy. Preliminarily, morphologically spectrally. Then, three machine learning approaches, including multivariate models neural...
Parkinson's disease is one of the most prevalent neurodegenerative diseases in world, usually occurring after age 50, but some cases, also affects younger people. It a that movement, coordination, and muscle control, all which cause range symptoms affect patients' writing drawing skills. Diagnosis clinical, so it occurs mainly through evaluation patient's movements, control. Therefore, analysis micrographic models can introduce new methodology investigation diagnosis monitoring disease. This...
Heart disease is today the leading cause of death in world. The early diagnosis can significantly reduce risk and be useful to drive successful treatment. However, requires continuous monitoring a large set clinical lifestyle indicators.This reason why there an increasing number studies aimed adopt machine learning predict heart starting from analysis vast range data that we collect thanks advent patients' digital folders. This work investigates adoption deep classifiers gathered by proposed...
Lung cancer is one of the diseases with highest mortality rate and early detection key to making disease as treatable possible. The most common useful method for recognizing pulmonary nodules computed tomography, which allows them be located monitored. disadvantage this technique that scans have interpreted by doctors, who could make mistakes. use CAD therefore becoming increasingly widespread, a system capable automatically analyzing CT images providing information on possible suspicious...
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, represents a global health challenge due to its complexity and limitations current diagnostic techniques. By combining Raman spectroscopy Artificial Intelligence (AI), we have succeeded in classifying tumor cells. In fact, performed first spectral analysis based on characterization differentiation between uncultured human cells derived from resected HCC tissue adjacent non-tumor counterpart. Biochemical collected...
Parkinson's is a neurodegenerative disease, with slow but progressive evolution, which involves some main functions such as the control of movements and balance. Symptoms vary by patient include motor factors tremors stiffness well non-motor symptoms cognitive impairment. Its diagnosis not easy, so it becoming increasingly necessary to assist doctors in identifying predicting disease. Artificial intelligence takes up this challenge work proposes new approach predict onset disease monitor...
The term cancer indicates a pathological condition characterized by the uncontrolled proliferation of cells that have ability to infiltrate normal organs and tissues body, altering their structure functioning. Therefore, since is caused DNA mutations within cells, Raman spectroscopy can be valuable tool for gathering information about composition. With this technique, sample illuminated beam monochromatic light interaction between them produces an effect allows obtain on examined. This study...