Leveraging artificial intelligence in the fight against infectious diseases

F Wong, C de la Fuente-Nunez, JJ Collins - Science, 2023 - science.org
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

B Wang, Y Li, M Zhou, Y Han, M Zhang, Z Gao… - Nature …, 2023 - nature.com
The frequent outbreak of global infectious diseases has prompted the development of rapid
and effective diagnostic tools for the early screening of potential patients in point-of-care …

Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning

L Huang, H Sun, L Sun, K Shi, Y Chen, X Ren… - Nature …, 2023 - nature.com
Biopsy is the recommended standard for pathological diagnosis of liver carcinoma.
However, this method usually requires sectioning and staining, and well-trained pathologists …

Lateral flow test engineering and lessons learned from COVID-19

J Budd, BS Miller, NE Weckman, D Cherkaoui… - Nature Reviews …, 2023 - nature.com
The acceptability and feasibility of large-scale testing with lateral flow tests (LFTs) for clinical
and public health purposes has been demonstrated during the COVID-19 pandemic. LFTs …

Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions

M Bhaiyya, D Panigrahi, P Rewatkar, H Haick - ACS sensors, 2024 - ACS Publications
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …

Computer vision meets microfluidics: A label-free method for high-throughput cell analysis

S Zhou, B Chen, ES Fu, H Yan - Microsystems & Nanoengineering, 2023 - nature.com
In this paper, we review the integration of microfluidic chips and computer vision, which has
great potential to advance research in the life sciences and biology, particularly in the …

Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay

S Lee, S Kim, DS Yoon, JS Park, H Woo, D Lee… - Nature …, 2023 - nature.com
Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can
greatly impact individual patient care and public health. However, current self-testing for …

Democratizing nucleic acid-based molecular diagnostic tests for infectious diseases at resource-limited settings–from point of care to extreme point of care

S Chakraborty - Sensors & Diagnostics, 2024 - pubs.rsc.org
The recurring instances of infectious disease outbreaks, coupled with complications such as
comorbidity challenges and antibiotic resistance, consistently underscore the limitations …

Towards an ethics of AI in Africa: rule of education

SMA Kiemde, AD Kora - AI and Ethics, 2022 - Springer
First, this paper reviews the work on the ethics of artificial intelligence in Africa by
researchers from Africa and the diaspora in a concept marked by a majority occidental …

Transfer learning with deep tabular models

R Levin, V Cherepanova, A Schwarzschild… - arxiv preprint arxiv …, 2022 - arxiv.org
Recent work on deep learning for tabular data demonstrates the strong performance of deep
tabular models, often bridging the gap between gradient boosted decision trees and neural …