Harnessing multimodal data integration to advance precision oncology
Advances in quantitative biomarker development have accelerated new forms of data-driven
insights for patients with cancer. However, most approaches are limited to a single mode of …
insights for patients with cancer. However, most approaches are limited to a single mode of …
Artificial intelligence for drug discovery: Are we there yet?
C Hasselgren, TI Oprea - Annual Review of Pharmacology and …, 2024 - annualreviews.org
Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
On the use of AI-based tools like ChatGPT to support management research
Purpose The article discusses the current relevance of artificial intelligence (AI) in research
and how AI improves various research methods. This article focuses on the practical case …
and how AI improves various research methods. This article focuses on the practical case …
Cancer nanotechnology: current status and perspectives
JA Kemp, YJ Kwon - Nano convergence, 2021 - Springer
Modern medicine has been waging a war on cancer for nearly a century with no tangible
end in sight. Cancer treatments have significantly progressed, but the need to increase …
end in sight. Cancer treatments have significantly progressed, but the need to increase …
Energy System 4.0: Digitalization of the energy sector with inclination towards sustainability
The United Nations' sustainable development goals have emphasized implementing
sustainability to ensure environmental security for the future. Affordable energy, clean …
sustainability to ensure environmental security for the future. Affordable energy, clean …
Synthetic biomarkers: a twenty-first century path to early cancer detection
Detection of cancer at an early stage when it is still localized improves patient response to
medical interventions for most cancer types. The success of screening tools such as cervical …
medical interventions for most cancer types. The success of screening tools such as cervical …
Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems
With the assistance of powerful machine learning algorithms, data collecting and processing
efficiency of wearable electromechanical sensors are highly improved. Meanwhile, the …
efficiency of wearable electromechanical sensors are highly improved. Meanwhile, the …
[HTML][HTML] The explainability paradox: Challenges for xAI in digital pathology
The increasing prevalence of digitised workflows in diagnostic pathology opens the door to
life-saving applications of artificial intelligence (AI). Explainability is identified as a critical …
life-saving applications of artificial intelligence (AI). Explainability is identified as a critical …
High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
Precision medicine is critically dependent on better methods for diagnosing and staging
disease and predicting drug response. Histopathology using hematoxylin and eosin (H&E) …
disease and predicting drug response. Histopathology using hematoxylin and eosin (H&E) …
A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer
C Ho, Z Zhao, XF Chen, J Sauer, SA Saraf… - Scientific reports, 2022 - nature.com
Colorectal cancer is one of the most common cancers worldwide, accounting for an annual
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …