[HTML][HTML] Concepts for improving hydrogen storage in nanoporous materials
Hydrogen storage in nanoporous materials has been attracting a great deal of attention in
recent years, as high gravimetric H 2 capacities, exceeding 10 wt% in some cases, can be …
recent years, as high gravimetric H 2 capacities, exceeding 10 wt% in some cases, can be …
A machine learning approach for predicting heat transfer characteristics in micro-pin fin heat sinks
Micro-pin fin heat sinks are receiving attention for their use in the thermal management of
high-heat-flux electronics systems since they can help to enhance heat transfer …
high-heat-flux electronics systems since they can help to enhance heat transfer …
Adaptive and maladaptive introgression in grapevine domestication
H Xiao, Z Liu, N Wang, Q Long, S Cao… - Proceedings of the …, 2023 - National Acad Sciences
Domesticated grapevines spread to Europe around 3,000 years ago. Previous studies have
revealed genomic signals of introgression from wild to cultivated grapes in Europe, but the …
revealed genomic signals of introgression from wild to cultivated grapes in Europe, but the …
[HTML][HTML] Deep biomarkers of human aging: application of deep neural networks to biomarker development
One of the major impediments in human aging research is the absence of a comprehensive
and actionable set of biomarkers that may be targeted and measured to track the …
and actionable set of biomarkers that may be targeted and measured to track the …
Artificial intelligence-driven biomedical genomics
As genomic research becomes more complex and data-rich, artificial intelligence (AI) has
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …
[HTML][HTML] Machine learning in medicine: Performance calculation of dementia prediction by support vector machines (SVM)
G Battineni, N Chintalapudi, F Amenta - Informatics in Medicine Unlocked, 2019 - Elsevier
Abstract Machine Learning (ML) is considered as one of the contemporary approaches in
predicting, identifying, and making decisions without having human involvement. ML is …
predicting, identifying, and making decisions without having human involvement. ML is …
A systematic review of the research trends of machine learning in supply chain management
Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …
yielded an enormous amount of publications during the last two decades. However, in the …
Discovering symptom patterns of COVID-19 patients using association rule mining
Background The COVID-19 pandemic is a significant public health crisis that is hitting hard
on people's health, well-being, and freedom of movement, and affecting the global economy …
on people's health, well-being, and freedom of movement, and affecting the global economy …
Adeno-associated virus as a delivery vector for gene therapy of human diseases
JH Wang, DJ Gessler, W Zhan, TL Gallagher… - Signal Transduction and …, 2024 - nature.com
Adeno-associated virus (AAV) has emerged as a pivotal delivery tool in clinical gene
therapy owing to its minimal pathogenicity and ability to establish long-term gene expression …
therapy owing to its minimal pathogenicity and ability to establish long-term gene expression …
[HTML][HTML] Accelerating 3D printing of pharmaceutical products using machine learning
Abstract Three-dimensional printing (3DP) has seen growing interest within the healthcare
industry for its ability to fabricate personalized medicines and medical devices. However, it …
industry for its ability to fabricate personalized medicines and medical devices. However, it …