Projeto
A framework for predicting drug sensitivity and synergy in cancer cells using deep learning [SFRH/BD/130913/2017]
| Referência: | SFRH/BD/130913/2017 |
|---|---|
| Organização financiadora: | Fundação para a Ciência e a Tecnologia, I.P. |
| Instituições associadas: | Universidade do Minho |
Registos relacionados
alterado para: A precision medicine platform using patient derived cancer cell models to predict drug efficacy.
alterado para: A precision medicine platform using patient derived cancer cell models to predict drug efficacy.
Deep Drug Discovery and Deployment [PTDC/CCI-BIO/29266/2017]
M3L: Exploring synergies between metabolic modeling and machine learning for studying plants [SFRH/BD/144643/2019]
MIR-143, -145 AND -21 MODULATION IN COLON CANCER - FROM ANTICANCER ACTIVITY TO DRUG SENSITIZATION
Stimuli-sensitive hybrid hydrogels for drug delivery applications in melanoma therapy [2021.06971.BD]
Automatic Segmentation of Stroke based on Multimodal Image Sequences using Deep Learning [PD/BD/113968/2015]
High-Quality Covalent Organic Frameworks to Capture Hazardous Compounds from Water [SFRH/BD/131791/2017]
Data Stream Learning for Predictive Maintenance
Deep graph learning approaches to personalized medicine
Deep Learning Applications to Optimization Problems in Finance
Deep learning-based Point Cloud Representation
Test-strips for monitoring cancer biomarkers in point-of-care [SFRH/BD/131959/2017]
Uncover the Benzoaphenoxazine derivatives antimicrobial and anti-cancer proprieties [SFRH/BD/133207/2017]
Porphyrin–thiazolothiazole conjugates for dye-sensitized solar cells
Collider and gravitational echoes of Full Unification with deep-learning
Soil organic carbon assessment using remote sensing data through deep learning techniques
Enzymatic synthesis of biodegradable amphiphilic polymer-drugs for cancer treatment [SFRH/BD/144303/2019]
Bolsa de Doutoramento FCT: Towards a Framework for System and Attack Modelling and Mapping of Requirements and Technology for the Internet of Things [SFRH/BD/133838/2017]
Hybrid dye-electrolyte systems for Dye-sensitized solar cells
Framework for ergonomic assessment in a collaborative robotic system [SFRH/BD/151365/2021]
Materials Synergy Integration for a Better Europe
Collider, gravitational and dark echoes of Grand Unification with Deep Learning
Developing extensive thermodynamic and machine learning models to predict various physical properties and phase equilibria of deep eutectic solvents and incorporation into a comprehensive commercial software
Rendering 3D images with attributes learned from 2D images via Deep Learning
From Drug Design to Chemical Toxicology: shaping predictive tools with Mass Spectrometry [PTDC/QUI-QAN/32242/2017]
A supportive, ergonomic and Human-aware framework for Human-Robot collaboration [SFRH/BD/151382/2021]
Trustable Machine Learning Development for Edge Devices [SFRH/BD/146780/2019]
Preparation of molecularly imprinted polymers for drug delivery using supercritical fluid technology [SFRH/BD/31085/2006]
Bolsa de Doutoramento FCT: Breast cancer synergistic therapy based on targeted lipid nanoparticles [SFRH/BD/130147/2017]
Local drug delivery systems based on biodegradable nanofibers for cancer photodynamic therapy PDT [SFRH/BD/147517/2019]
Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge
Development of multifunctional inks for the implementation of interactive applications [SFRH/BD/131729/2017]
Predicting clinical response to anticancer drugs using 3D-bioprinted tumor models for personalized therapy
PD/BD/135208/2017
PD/BD/135246/2017
On Preemption in Time-Sensitive Networking TSN
Bolsa de Doutoramento FCT: Structural and Functional Characterization of the Cancer-associated Epithelial Antigen STEAP1 [SFRH/BD/130068/2017]
Synergies for Europe's Research Infrastructures in the Social Sciences
Modification of the human hair characteristics: a nanotechnological approach to change the hair color (SFRH/BD/131824/2017)
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