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Leveraging artificial intelligence in the fight against infectious diseases
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …
infectious disease remains an ominous threat to public health. Addressing the challenges …
Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
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 …
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 …
However, this method usually requires sectioning and staining, and well-trained pathologists …
Lateral flow test engineering and lessons learned from COVID-19
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 …
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
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 …
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 …
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
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 …
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 …
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 …
researchers from Africa and the diaspora in a concept marked by a majority occidental …
Transfer learning with deep tabular models
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 …
tabular models, often bridging the gap between gradient boosted decision trees and neural …