Emerging applications of machine learning in genomic medicine and healthcare

N Chafai, L Bonizzi, S Botti… - Critical Reviews in Clinical …, 2024 - Taylor & Francis
The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

Recent evolutions of machine learning applications in clinical laboratory medicine

S De Bruyne, MM Speeckaert… - Critical Reviews in …, 2021 - Taylor & Francis
Abstract Machine learning (ML) is gaining increased interest in clinical laboratory medicine,
mainly triggered by the decreased cost of generating and storing data using laboratory …

Raman spectroscopy and machine learning for the classification of breast cancers

L Zhang, C Li, D Peng, X Yi, S He, F Liu… - … Acta Part A: Molecular …, 2022 - Elsevier
Breast cancer is a major health threat for women. The drug responses associated with
different breast cancer subtypes have obvious effects on therapeutic outcomes; therefore …

Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems

H Bleher, M Braun - AI and Ethics, 2022 - Springer
Good decision-making is a complex endeavor, and particularly so in a health context. The
possibilities for day-to-day clinical practice opened up by AI-driven clinical decision support …

Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya

S Saha, A Saha, TK Hembram, B Kundu… - Geocarto …, 2022 - Taylor & Francis
Over the years, landslide has become one of the most destructive events that can happen in
hilly areas. Tehri, a region in the Himalayas is no different. Current research aids in the …

Raman spectroscopy and machine learning for the classification of esophageal squamous carcinoma

W Huang, Q Shang, X Xiao, H Zhang, Y Gu… - … Acta Part A: Molecular …, 2022 - Elsevier
Early diagnosis of esophageal squamous cell carcinoma (ESCC), a common malignant
tumor with a low overall survival rate due to metastasis and recurrence, is critical for effective …

Multiobjectives optimization in petroleum refinery catalytic desulfurization using Machine learning approach

HA Al-Jamimi, GM BinMakhashen, TA Saleh - Fuel, 2022 - Elsevier
In the petroleum refining industries, the hydrodesulfurization (HDS) process is one of the
most common techniques for purifying petroleum products from undesirable sulfur species to …

Ozone concentration forecasting based on artificial intelligence techniques: a systematic review

A Yafouz, AN Ahmed, N Zaini, A El-Shafie - Water, Air, & Soil Pollution, 2021 - Springer
The prediction of tropospheric ozone concentrations is vital due to ozone's passive impacts
on atmosphere, people's health, flora and fauna. However, ozone prediction is a complex …

Molecular Characterization and Landscape of Breast cancer Models from a multi-omics Perspective

MMO Ortiz, ER Andrechek - Journal of Mammary Gland Biology and …, 2023 - Springer
Breast cancer is well-known to be a highly heterogenous disease. This facet of cancer
makes finding a research model that mirrors the disparate intrinsic features challenging …

Application of serum SERS technology based on thermally annealed silver nanoparticle composite substrate in breast cancer

Z Cheng, H Li, C Chen, X Lv, EG Zuo, X Xie, Z Li… - Photodiagnosis and …, 2023 - Elsevier
Liquid biopsy is currently a non-destructive and convenient method of cancer screening, due
to human blood containing a variety of cancer-related biomolecules. Therefore, the …