Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

W Zhang, R Chen, J Li, T Huang, B Wu, J Ma, Q Wen… - Biochar, 2023 - Springer
Due to large specific surface area, abundant functional groups and low cost, biochar is
widely used for pollutant removal. The adsorption performance of biochar is related to …

Application of machine learning for cytometry data

Z Hu, S Bhattacharya, AJ Butte - Frontiers in immunology, 2022 - frontiersin.org
Modern cytometry technologies present opportunities to profile the immune system at a
single-cell resolution with more than 50 protein markers, and have been widely used in both …

Prostate cancer detection using deep learning and traditional techniques

S Iqbal, GF Siddiqui, A Rehman, L Hussain… - IEEE …, 2021 - ieeexplore.ieee.org
Prostate cancer (PCa) is a severe type of cancer and causes major deaths among men due
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …

Explainability of neural network clustering in interpreting the COVID-19 emergency data

Z Yu, A Sohail, TA Nofal, JMRS Tavares - Fractals, 2022 - World Scientific
Among other hospitalization causes and cases, the clinical emergency is a critical case and
the data of the reporting patients are biased as well as poorly managed due to the chaotic …

Integration of AI and traditional medicine in drug discovery

SR Khan, D Al Rijjal, A Piro, MB Wheeler - Drug discovery today, 2021 - Elsevier
The integration of artificial intelligence (AI) into an evidence-based modern drug discovery
platform will likely result in revolutionary advancement. Although modern medicine remains …

OmicsSuite: a customized and pipelined suite for analysis and visualization of multi-omics big data

BB Miao, W Dong, YX Gu, ZF Han, X Luo… - Horticulture …, 2023 - academic.oup.com
With the advancements in high-throughput sequencing technologies such as Illumina,
PacBio, and 10X Genomics platforms, and gas/liquid chromatography-mass spectrometry …

Forecasting the impact of environmental stresses on the frequent waves of COVID19

Z Yu, ASG Abdel-Salam, A Sohail, F Alam - Nonlinear Dynamics, 2021 - Springer
A novel approach to link the environmental stresses with the COVID-19 cases is adopted
during this research. The time-dependent data are extracted from the online repositories that …

Artificial intelligence in cardiovascular atherosclerosis imaging

J Zhang, R Han, G Shao, B Lv, K Sun - Journal of Personalized Medicine, 2022 - mdpi.com
At present, artificial intelligence (AI) has already been applied in cardiovascular imaging (eg,
image segmentation, automated measurements, and eventually, automated diagnosis) and …

Densely connected convolutional networks for ultrasound image based lesion segmentation

J Ma, D Kong, F Wu, L Bao, J Yuan, Y Liu - Computers in Biology and …, 2024 - Elsevier
Delineating lesion boundaries play a central role in diagnosing thyroid and breast cancers,
making related therapy plans and evaluating therapeutic effects. However, it is often time …

ARTIFICIAL INTELLIGENCE AND STOCHASTIC OPTIMIZATION ALGORITHMS FOR THE CHAOTIC DATASETS.

F Wang, A Sohail, WK Wong, Q Ul Ain Azim… - …, 2023 - search.ebscohost.com
Almost every natural process is stochastic due to the basic consequences of nature's
existence and the dynamical behavior of each process that is not stationary but evolves with …