Results 141 to 150 of about 893,300 (260)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

Unlocking the Potential of MXene‐Based Electrochemical Biosensors: A Review of Biofunctionalization Strategies and Biosensing Principles

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali   +4 more
wiley   +1 more source

Merkel Cell Carcinoma Presenting as a Solitary Facial Nodule in a 59-Year-Old Woman. [PDF]

open access: yesAm J Dermatopathol
Almutairi R   +6 more
europepmc   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang   +4 more
wiley   +1 more source

Pulmonary Arterial Hypertension and Cancer: Unveiling Parallels in Epidemiology, Clinical Pathways, and Therapeutic Strategies. [PDF]

open access: yesJ Mark Access Health Policy
El-Kersh K   +7 more
europepmc   +1 more source

Predicting Macrophage Spatial Localization from Single‐Cell Transcriptomes to Uncover Disease Mechanisms

open access: yesAdvanced Science, EarlyView.
This study presents a machine‐learning framework entitled MERLIN that infers the microanatomical localization of macrophages from single‐cell transcriptomic data in structured organs such as the kidney and brain. Applying this method to existing datasets from models of acute kidney injury and diabetic nephropathy uncovered spatially resolved insights ...
Junping Yin   +18 more
wiley   +1 more source

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