A5053316514- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- AI in cancer detection
- Thermoregulation and physiological responses
- Cancer Immunotherapy and Biomarkers
- Infrared Thermography in Medicine
- Cancer Genomics and Diagnostics
- Climate Change and Health Impacts
- Gastric Cancer Management and Outcomes
- Ferroptosis and cancer prognosis
- Lung Cancer Treatments and Mutations
- Artificial Intelligence in Healthcare and Education
- Graphene and Nanomaterials Applications
- 3D Printing in Biomedical Research
- Medical Imaging Techniques and Applications
- Urban Heat Island Mitigation
- Corrosion Behavior and Inhibition
- Advanced Sensor and Energy Harvesting Materials
- Graphene research and applications
- RNA modifications and cancer
- Electrochemical Analysis and Applications
- Electrodeposition and Electroless Coatings
- Multiple and Secondary Primary Cancers
- COVID-19 diagnosis using AI
- Machine Learning in Healthcare
Université Libre de Bruxelles
2018-2024
Incyte (United States)
2024
Menarini Group (Italy)
2024
Merck (Singapore)
2024
Fondazione IRCCS Istituto Nazionale dei Tumori
2023-2024
Politecnico di Milano
2022-2024
University of Belgrade
1985
Recently, a wide spectrum of artificial intelligence (AI)–based applications in the broader categories digital pathology, biomarker development, and treatment have been explored. In domain these included novel analytical strategies for realizing new information derived from standard histology to guide selection development predict response. therapeutics, AI-driven drug target discovery, design repurposing, combination regimen optimization, modulated dosing, beyond. Given continued advances...
Introduction Artificial Intelligence (AI) methods are being increasingly investigated as a means to generate predictive models applicable in the clinical practice. In this study, we developed model predict efficacy of immunotherapy (IO) patients with advanced non-small cell lung cancer (NSCLC) using eXplainable AI (XAI) Machine Learning (ML) methods. Methods We prospectively collected real-world data from an NSCLC condition receiving immune-checkpoint inhibitors (ICIs) either single agent or...
Background Chemoimmunotherapy represents the standard of care for patients with advanced non-small cell lung cancer (NSCLC) and programmed death-ligand 1 (PD-L1) <50%. Although single-agent pembrolizumab has also demonstrated some activity in this setting, no reliable biomarkers yet exist selecting likely to respond immunotherapy. The main purpose study was identify potential new associated progression-free-survival (PFS) within a multiomics analysis. Methods PEOPLE (NTC03447678)...
Three-dimensional (3D) bio-printing has recently emerged as a crucial technology in tissue engineering, yet there are still challenges selecting materials to obtain good print quality. Therefore, it is essential study the influence of chosen material (i.e., bio-ink) and printing parameters on final result. The “printability” bio-ink indicates its suitability for bio-printing. Hydrogels great choice because their biocompatibility, but printability exploiting properties ensuring high accuracy....
Wound management in Space is an important factor to be considered future Human Exploration. It demands the development of reliable wound monitoring systems that will facilitate assessment and proper care wounds isolated environments, such as Space. One possible system could developed using liquid crystal films, which have been a promising solution for real-time in-situ temperature healthcare, but they are not yet implemented clinical practice. To progress latter, goal this study twofold....
Abstract Laser-induced graphene (LIG) possesses desirable properties for numerous applications. However, LIG formation on biocompatible substrates is needed to further augment the integration of LIG-based technologies into nanobiotechnology. Here, cross-linked sodium alginate reported. The systematically investigated, providing a comprehensive understanding physicochemical characteristics material. Raman spectroscopy, scanning electron microscopy with energy-dispersive x-ray analysis,...
An accurate and timely diagnosis of burn severity is critical to ensure a positive outcome. Laser Doppler imaging (LDI) has become very useful tool for this task. It measures the perfusion estimates its potential healing time. LDIs generate 6-color palette image, with each color representing This technique high costs associated. In resource-limited areas, such as low- middle-income countries or remote locations like space, where access specialized care inadequate, more affordable portable...
The interest in metaverse applications by existing industries has seen massive growth thanks to the accelerated pace of research key technological fields and shift towards virtual interactions fueled Covid-19 pandemic. One industry that can benefit from integration into is healthcare. potential provide enhanced care for patients affected multiple health issues, standard afflictions more specialized pathologies, being explored through fabrication architectures support applications. In this...
688 Background: Internationally avelumab is approved as maintenance therapy for patients (pts) with LA/mUC whose disease did not progress after 1L platinum-based chemotherapy. However, 54% of pts progressed on avelumab. Limited data are available predictive biomarker efficacy. Artificial intelligence (AI) methods being increasingly investigated to generate models applicable in clinical practice. In this study, we developed a set machine learning (ML) classifiers and survival analysis...
Abstract Exposure to altered gravity influences cellular behaviour in cell cultures. Hydrogels are amongst the most common materials used produce tissue-engineering scaffolds, and their mechanical properties play a crucial role cell-matrix interaction. However, little is known about influence of on hydrogel properties. Here we study Poly (ethylene glycol) diacrylate (PEGDA) PEGDA incorporated with graphene oxide (GO) by performing tensile tests micro hypergravity during Parabolic flight...
<title>Abstract</title> <bold>Background and purpose</bold> Immunotherapy (IO) revolutionized the prognosis of patients with Non-Small Cell Lung Cancer (NSCLC). However, identifying optimal candidates for this treatment remains challenging. Based on a previous study suggesting potential predictive power radiomics in predicting clinical outcomes different settings, we aimed to assess capability IO efficacy advanced NSCLC treated immunotherapy.<bold>Materials Methods</bold> 375 IO-based...
The incidence of burn injuries is higher in low-and middle-income countries, and particularly remote areas where the access to specialized assessment, care recovery limited. Given high costs associated with one most used techniques evaluate severity a burn, namely laser Doppler imaging (LDI), an alternative approach could be beneficial for locations. This study proposes novel estimate LDI from digital images burn. pixel-wise regression model based on convolutional neural networks. To...