Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …

Artificial olfactory sensors that recognize patterns transmitted by olfactory receptors are
emerging as a technology for monitoring volatile organic compounds. Advances in statistical …

Diabetes and its complications affect the younger population and are associated with a high
mortality rate; however, early diagnosis can contribute to the selection of appropriate …

Adaptable and sensitive materials are essential for the development of advanced sensor
systems such as bio and chemical sensors. Biomaterials can be used to develop …

The engineered biomimetic sensors can not only realize the action of organs, but also
combine functional materials as in vitro organs by simulating the response of biological …

Based on their powerful feature extraction capability, a convolutional neural network (CNN)
has been gradually applied to gas identification in the electronic nose (e-nose) system. The …

Microbes are pivotal in contemporary cancer research, influencing various biological
behaviors in cancer. The previous notion that the lung was sterile has been destabilized by …

Techniques for detecting chemicals dispersed at low concentrations in air continue to
evolve. These techniques can be applied not only to manage the quality of agricultural …

Artificial olfactory systems that can provide sustainable monitoring and non-invasive
diagnostics are emerging for environmental exposure detection and exhaled breath …

Stem cell technology holds immense potential for revolutionizing medicine, particularly in
regenerative treatment for heart disease. The unique capacity of stem cells to differentiate …