A5083206655- Antimicrobial Peptides and Activities
- Surgical Simulation and Training
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Gaze Tracking and Assistive Technology
- Computational Drug Discovery Methods
- Nanoparticle-Based Drug Delivery
- Biochemical and Structural Characterization
- vaccines and immunoinformatics approaches
- Augmented Reality Applications
- Graphene and Nanomaterials Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Proteins in Food Systems
- Advanced Proteomics Techniques and Applications
- Electrochemical sensors and biosensors
- Online Learning and Analytics
- Food Chemistry and Fat Analysis
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Biosensors and Analytical Detection
- Machine Learning in Bioinformatics
- Fullerene Chemistry and Applications
- Biosimilars and Bioanalytical Methods
- Multimodal Machine Learning Applications
Universidad de Los Andes
2022-2024
Johns Hopkins University
2023-2024
Universidad de Los Andes
2019-2023
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of dailylife activity spanning hundreds scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations 9 different countries. The approach to collection is designed uphold rigorous privacy ethics standards, with consenting participants robust de-identification procedures where relevant. Ego4D dramatically expands the volume...
Antibiotic resistance is a worldwide public health problem due to the costs and mortality rates it generates. However, large pharmaceutical industries have stopped searching for new antibiotics because of their low profitability, given rapid replacement imposed by increasingly observed acquired microorganisms. Alternatively, antimicrobial peptides (AMPs) emerged as potent molecules with much lower rate generation. The discovery these carried out through extensive in vitro screenings either...
Magnetite nanoparticles (MNPs) have gained significant attention in several applications for drug delivery. However, there are some issues related to cell penetration, especially the transport of cargoes that show limited membrane passing. A widely studied strategy overcome this problem is encapsulation MNPs into liposomes form magnetoliposomes (MLPs), which capable fusing with membranes achieve high delivery rates. This study presents a low-cost microfluidic approach synthesis and...
Parkinson's disease (PD) is the second most common neurodegenerative disorder after Alzheimer's disease. Therefore, development of novel technologies and strategies to treat PD a global health priority. Current treatments include administration Levodopa, monoamine oxidase inhibitors, catechol-O-methyltransferase anticholinergic drugs. However, effective release these molecules, due limited bioavailability, major challenge for treatment PD. As strategy solve this challenge, in study we...
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity spanning hundreds scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations 9 different countries. The approach to collection is designed uphold rigorous privacy ethics standards, with consenting participants robust de-identification procedures where relevant. Ego4D dramatically expands the volume...
Gene delivery has emerged as a promising alternative to conventional treatment approaches, allowing for the manipulation of gene expression through insertion, deletion, or alteration. However, susceptibility components degradation and challenges associated with cell penetration necessitate use vehicles effective functional delivery. Nanostructured vehicles, such iron oxide nanoparticles (IONs) including magnetite (MNPs), have demonstrated significant potential applications due their chemical...
Purpose: Metrics derived from eye-gaze-tracking and pupillometry show promise for cognitive load assessment, potentially enhancing training patient safety through user-specific feedback in tele-robotic surgery. However, current eye-tracking solutions' effectiveness surgery is uncertain compared to everyday situations due close-range interactions causing extreme pupil angles occlusions. To assess the of modern solutions surgery, we compare Tobii Pro 3 Glasses Pupil Labs Core, evaluating their...
Drug Discovery is an active research area that demands great investments and generates low returns due to its inherent complexity costs. To identify potential therapeutic candidates more effectively, we propose protein-ligand with adversarial augmentations network (PLA-Net), a deep learning-based approach predict target-ligand interactions. PLA-Net consists of two-module graph convolutional considers ligands' targets' most relevant chemical information, successfully combining them find their...
The discovery and development of novel pharmaceuticals is an area active research mainly due to the large investments required long payback times. As 2016, a drug candidate up $ USD 2.6 billion in investment for only 10% rate approval by FDA. To help decreasing costs associated with process, number silico approaches have been developed relatively low success limited predicting performance. Here, we introduced machine learning-based algorithm as alternative more accurate search new...
The limited delivery of cargoes at the cellular level is a significant challenge for therapeutic strategies due to presence numerous biological barriers. By immobilizing Buforin II (BUF-II) peptide and OmpA protein on magnetite nanoparticles, new family cell-penetrating nanobioconjugates was developed in previous study. We propose this study extend strategy silica nanoparticles (SNPs) silanized fullerenol (F) as nanostructured supports conjugating these potent agents. same molecule...
Background: Eye gaze tracking and pupillometry are emerging topics in telerobotic surgery as it is believed that they will enable novel gaze-based interaction paradigms provide insights into the user’s cognitive load (CL). Further, successful integration of CL estimation systems thought to catalyze development new human-computer interfaces for personalized assistance training processes. However, this field its infancy, identifying reliable pupil-tracking solutions robotic still an area...
At the beginning of 2020, pandemic caused by SARS-CoV-2 virus led to fast sequencing its genome facilitate molecular engineering strategies control pathogen's spread. The spike (S) glycoprotein has been identified as leading therapeutic agent due role in localizing ACE2 receptor host's pulmonary cell membrane, binding, and eventually infecting cells. Due difficulty delivering bioactive molecules intracellular space, we hypothesized that S protein could serve a source membrane translocating...
Cell-penetrating agents based on functionalized nanoplatforms have emerged as a promising approach for developing more efficient and multifunctional delivery vehicles treating various complex diseases that require reaching different intracellular compartments. Our previous work has shown achieving full cellular coverage high endosomal escape rates is possible by interfacing magnetite nanoparticles with potent translocating peptides such Buforin II (BUF-II). In this work, we extended an to...
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity spanning hundreds scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations 9 different countries. The approach to collection is designed uphold rigorous privacy ethics standards with consenting participants robust de-identification procedures where relevant. Ego4D dramatically expands the volume...