Deep learning in drug discovery: opportunities, challenges and future prospects

A Lavecchia - Drug discovery today, 2019 - Elsevier
Highlights•Deep learning methods have gained outstanding achievements.•We review deep
learning methods/tools relevant to drug discovery research.•We discuss opportunities …

[HTML][HTML] A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

J Zhang, C Li, MM Rahaman, Y Yao, P Ma… - Artificial Intelligence …, 2022 - Springer
Microorganisms such as bacteria and fungi play essential roles in many application fields,
like biotechnique, medical technique and industrial domain. Microorganism counting …

Applications of deep learning and reinforcement learning to biological data

M Mahmud, MS Kaiser, A Hussain… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains …

Classification of breast cancer based on histology images using convolutional neural networks

D Bardou, K Zhang, SM Ahmad - Ieee Access, 2018 - ieeexplore.ieee.org
In recent years, the classification of breast cancer has been the topic of interest in the field of
Healthcare informatics, because it is the second main cause of cancer-related deaths in …

[HTML][HTML] Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …

P Rani, S Kotwal, J Manhas, V Sharma… - … Methods in Engineering, 2022 - Springer
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …

Lung sounds classification using convolutional neural networks

D Bardou, K Zhang, SM Ahmad - Artificial intelligence in medicine, 2018 - Elsevier
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate
patients with pulmonary conditions, the physician or the doctor uses the traditional …

A novel method to improve methane generation from waste sludge using iron nanoparticles coated with magnesium hydroxide

R Eljamal, I Maamoun, K Bensaida, G Yilmaz… - … and Sustainable Energy …, 2022 - Elsevier
In response to the low efficiency of the anaerobic digestion (AD) process in generating
methane gas, we apply for the first time the use of coated/Fe 0 with Mg (OH) 2 to enhance …

Deep learning for imaging and detection of microorganisms

Y Zhang, H Jiang, T Ye, M Juhas - Trends in Microbiology, 2021 - cell.com
Despite tremendous recent interest, the application of deep learning in microbiology has still
not reached its full potential. To tackle the challenges faced by human-operated microscopy …

Image generation by GAN and style transfer for agar plate image segmentation

P Andreini, S Bonechi, M Bianchini, A Mecocci… - Computer methods and …, 2020 - Elsevier
Background and objectives. Deep learning models and specifically Convolutional Neural
Networks (CNNs) are becoming the leading approach in many computer vision tasks …

[HTML][HTML] Machine learning in the clinical microbiology laboratory: has the time come for routine practice?

N Peiffer-Smadja, S Dellière, C Rodriguez… - Clinical Microbiology …, 2020 - Elsevier
Background Machine learning (ML) allows the analysis of complex and large data sets and
has the potential to improve health care. The clinical microbiology laboratory, at the interface …