Results 41 to 50 of about 7,921,142 (232)

In Vivo Quantification of the Effectiveness of Topical Low-Dose Photodynamic Therapy in Wound Healing Using Two-Photon Microscopy

Pharmaceutics, 2022
The effect of low-dose photodynamic therapy on in vivo wound healing with topical application of 5-aminolevulinic acid and methylene blue was investigated using an animal model for two laser radiation doses (1 and 4 J/cm2).
Hala Zuhayri, Viktor V. Nikolaev, Anastasia I. Knyazkova, Tatiana B. Lepekhina, Natalya A. Krivova, Valery V. Tuchin, Yury V. Kistenev   +6 more
doaj   +1 more source

Contour-Aware Polyp Segmentation in Colonoscopy Images Using Detailed Upsampling Encoder-Decoder Networks

IEEE Access, 2020
Colorectal cancer has become one of the most common cause of cancer mortality worldwide, with a five-year survival rate of over 50%. Additionally, the potential of some common polyp types to progress to colorectal cancer is considered high.
Ngoc-Quang Nguyen, Duc My Vo, Sang-Woong Lee   +2 more
doaj   +1 more source

Quantitative Assessment of Low-Dose Photodynamic Therapy Effects on Diabetic Wound Healing Using Raman Spectroscopy

Pharmaceutics, 2023
One of challenges that faces diabetes is the wound healing process. The delayed diabetic wound healing is caused by a complicated molecular mechanism involving numerous physiological variables.
Hala Zuhayri, Alice A. Samarinova, Alexey V. Borisov, David A. Lopez Guardado, Houssain Baalbaki, Natalya A. Krivova, Yury V. Kistenev   +6 more
doaj   +1 more source

Machine Learning in Bioelectrocatalysis

Advanced Science, 2023
AbstractAt present, the global energy crisis and environmental pollution coexist, and the demand for sustainable clean energy has been highly concerned. Bioelectrocatalysis that combines the benefits of biocatalysis and electrocatalysis produces high‐value chemicals, clean biofuel, and biodegradable new materials.
Jiamin Huang, Yang Gao, Yanhong Chang, Jiajie Peng, Yadong Yu, Bin Wang   +5 more
openaire   +3 more sources

Multinational License Plate Recognition Using Generalized Character Sequence Detection

IEEE Access, 2020
Automatic license plate recognition (ALPR) is generally considered a solved problem in the computer vision community. However, most of the current works on ALPR are designed to work on license plates (LP) from specific countries and use country-specific ...
Chris Henry, Sung Yoon Ahn, Sang-Woong Lee   +2 more
doaj   +1 more source

Machine Learning for Communications [PDF]

Entropy, 2021
Due to the proliferation of applications and services that run over communication networks, ranging from video streaming and data analytics to robotics and augmented reality, tomorrow’s networks will be faced with increasing challenges resulting from the explosive growth of data traffic demand with significantly varying performance requirements [...]
openaire   +3 more sources

Equivariant diffusion for structure-based de novo ligand generation with latent-conditioning

Journal of Cheminformatics
We introduce PoLiGenX, a novel generative model for de novo ligand design that employs latent-conditioned, target-aware equivariant diffusion. Our approach leverages the conditioning of the ligand generation process on reference molecules located within ...
Tuan Le, Julian Cremer, Djork-Arné Clevert, Kristof T. Schütt   +3 more
doaj   +1 more source

Evaluation metrics and statistical tests for machine learning

Scientific Reports
Research on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML models and ...
O. Rainio, J. Teuho, R. Klén
semanticscholar   +1 more source

Identifying gene-specific subgroups: an alternative to biclustering

BMC Bioinformatics, 2019
Background Transcriptome analysis aims at gaining insight into cellular processes through discovering gene expression patterns across various experimental conditions.
Vincent Branders, Pierre Schaus, Pierre Dupont   +2 more
doaj   +1 more source

Is Machine Learning Real Learning?

Center for Educational Policy Studies Journal, 2019
The question of whether machine learning is real learning is ambiguous, because the term “real learning” can be understood in two different ways. Firstly, it can be understood as learning that actually exists and is, as such, opposed to something that only appears to be learning, or is misleadingly called learning despite being something else ...
openaire   +5 more sources