Sökning: "Disease Prediction"

Visar resultat 1 - 5 av 80 uppsatser innehållade orden Disease Prediction.

  1. 1. Speech Classification using Acoustic embedding and Large Language Models Applied on Alzheimer’s Disease Prediction Task

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Maryam Kheirkhahzadeh; [2023]
    Nyckelord :Speech classification; Alzheimer’s disease detection; GPT-3; BERT; Text embedding; Dementia; wav2vec2.0; Klassificering av tal; detektion av Alzheimer’s sjukdom; GPT-3; BERT; textinbäddning; demens; wav2vec2.0;

    Sammanfattning : Alzheimer’s sjukdom är en neurodegenerativ sjukdom som leder till demens. Den kan börja tyst i de tidiga stadierna och fortsätta under åren till en allvarlig och obotlig fas. Språkstörningar uppstår ofta som ett av de tidiga symptomen och kan till slut leda till fullständig mutism i de avancerade stadierna av sjukdomen. LÄS MER

  3. 2. Computational prediction of cell-cell interactions in the brain-tumour microenvironment

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Paula Camargo Romera; [2023]
    Nyckelord :Cancer; Glioblastoma; Computational Biology; Bioinformatics; Microenvironment; Brain tumour; Interactions; Systems Biology;

    Sammanfattning : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. LÄS MER

  4. 3. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Alice Fracchia; [2023]
    Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

    Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

  5. 4. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Dorsa Mohammad; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

    Sammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER

  7. 5. The Effect of Interactive Selection on Personalized Drug Prediction Using Interactomes : Examination of Parameters Impacting Drug Treatment Rankings from Network Models for Covid-19 Patients

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Cornelia Torell; [2023]
    Nyckelord :Precision Medicine; Pharmacogenomics; Biomarkers; Covid-19; Digital Twins; Network Modeling; Interactomes; Protein-Protein Interaction Networks; Differentially Expressed Genes; Principal Coordinate Analysis; Precisionsmedicin; Farmakogenetik; Biomarkörer; Covid-19; Digitala tvillingar; Nätverksmodellering; Interaktom; Proteininteraktionsnätverk; Sjukdomsrelaterade gener; Principalkoordinatanalys;

    Sammanfattning : Patients not responding to therapy as expected is one of the most pressing healthcare concerns of today. It causes economical, medical and societal issues along with suffering for patients. This project aimed to address this problem and evaluate how to find the best suited drug treatments for individual patients to treat Covid-19. LÄS MER