Utilities of artificial intelligence in poverty prediction: a review

A Usmanova, A Aziz, D Rakhmonov, W Osamy - Sustainability, 2022 - mdpi.com
Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …

[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine

W Abbaoui, S Retal, B El Bhiri, N Kharmoum… - Informatics in Medicine …, 2024 - Elsevier
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …

Cancer drug response profile scan (CDRscan): a deep learning model that predicts drug effectiveness from cancer genomic signature

Y Chang, H Park, HJ Yang, S Lee, KY Lee, TS Kim… - Scientific reports, 2018 - nature.com
In the era of precision medicine, cancer therapy can be tailored to an individual patient
based on the genomic profile of a tumour. Despite the ever-increasing abundance of cancer …

Immune activation underlies a sustained clinical response to Yttrium-90 radioembolisation in hepatocellular carcinoma

V Chew, YH Lee, L Pan, NJM Nasir, CJ Lim, C Chua… - Gut, 2019 - gut.bmj.com
Objectives Yttrium-90 (Y90)-radioembolisation (RE) significantly regresses locally advanced
hepatocellular carcinoma and delays disease progression. The current study is designed to …

Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network

P Liu, H Li, S Li, KS Leung - BMC bioinformatics, 2019 - Springer
Background Understanding the phenotypic drug response on cancer cell lines plays a vital
role in anti-cancer drug discovery and re-purposing. The Genomics of Drug Sensitivity in …

Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties

AP Lind, PC Anderson - PloS one, 2019 - journals.plos.org
A key goal of precision medicine is predicting the best drug therapy for a specific patient
from genomic information. In oncology, cancers that appear similar pathologically can vary …

A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds

B He, F Hou, C Ren, P Bing, X Xiao - Frontiers in Oncology, 2021 - frontiersin.org
Drug repositioning is a new way of applying the existing therapeutics to new disease
indications. Due to the exorbitant cost and high failure rate in developing new drugs, the …

A systematic review of applications of machine learning in cancer prediction and diagnosis

A Sharma, R Rani - Archives of Computational Methods in Engineering, 2021 - Springer
Advancement in genome sequencing technology has empowered researchers to think
beyond their imagination. Researchers are trying their hard to fight against various genetic …

Multivariate random forest prediction of poverty and malnutrition prevalence

C Browne, DS Matteson, L McBride, L Hu, Y Liu, Y Sun… - PloS one, 2021 - journals.plos.org
Advances in remote sensing and machine learning enable increasingly accurate,
inexpensive, and timely estimation of poverty and malnutrition indicators to guide …

Application of a combined model with autoregressive integrated moving average (ARIMA) and generalized regression neural network (GRNN) in forecasting hepatitis …

W Wei, J Jiang, H Liang, L Gao, B Liang, J Huang… - PloS one, 2016 - journals.plos.org
Background Hepatitis is a serious public health problem with increasing cases and property
damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic …