Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

Advances of artificial intelligence in anti-cancer drug design: a review of the past decade

L Wang, Y Song, H Wang, X Zhang, M Wang, J He… - Pharmaceuticals, 2023 - mdpi.com
Anti-cancer drug design has been acknowledged as a complicated, expensive, time-
consuming, and challenging task. How to reduce the research costs and speed up the …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

Unveiling the potential of proteomic and genetic signatures for precision therapeutics in lung cancer management

S Srivastava, N Jayaswal, S Kumar, PK Sharma… - Cellular …, 2024 - Elsevier
Lung cancer's enduring global significance necessitates ongoing advancements in
diagnostics and therapeutics. Recent spotlight on proteomic and genetic biomarker research …

Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis

LT Thong, HS Chou, HSJ Chew, LAU Ying - Lung Cancer, 2023 - Elsevier
Background Lung cancer is the principal cause of cancer-related deaths worldwide. Early
detection of lung cancer with screening is indispensable to reduce the high morbidity and …

Deep machine learning for medical diagnosis, application to lung cancer detection: a review

HT Gayap, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

Artificial intelligence and lung cancer: impact on improving patient outcomes

Z Gandhi, P Gurram, B Amgai, SP Lekkala… - Cancers, 2023 - mdpi.com
Simple Summary In this comprehensive review, we aimed to summarize the advances made
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …

Radgraph2: Modeling disease progression in radiology reports via hierarchical information extraction

S Khanna, A Dejl, K Yoon… - Machine Learning …, 2023 - proceedings.mlr.press
We present RadGraph2, a novel dataset for extracting information from radiology reports that
focuses on capturing changes in disease state and device placement over time. We …

Imaging diagnosis of hepatocellular carcinoma: a state-of-the-art review

G Candita, S Rossi, K Cwiklinska, SC Fanni, D Cioni… - Diagnostics, 2023 - mdpi.com
Hepatocellular carcinoma (HCC) remains not only a cause of a considerable part of
oncologic mortality, but also a diagnostic and therapeutic challenge for healthcare systems …