Results 221 to 230 of about 2,523,692 (291)

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

Advanced 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, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Machine Learning-Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study.

JMIR Med Inform
Du MY, Lyu MK, Liu HL, Li YZ, Yan HF, Li XH.   +5 more
europepmc   +1 more source

Development and validation of a machine learning model for predicting unplanned removal of totally implantable venous access ports in patients with breast cancer. [PDF]

Front Oncol
Wang Y, Wu X, Song S, Yan X, Zhang Y, Yang Y, Liu J.   +6 more
europepmc   +1 more source

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

The nonenzymatic antioxidant profile as a biomarker for adolescent mood disorders: Cross-sectional and longitudinal analyses. [PDF]

J Int Med Res
Jiang Z, Zhang L, Ran S, Zhang L, Chen F, Zhang J, Xu X, Li Y, Hou H, Liu Q, Qin B, Liu C, Li Y, Teng T, Zhou X.   +14 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

First-Trimester Gestational Diabetes Mellitus Risk Prediction with Machine Learning Techniques: Results from the BORN2020 Cohort Study. [PDF]

J Clin Med
Pazaras N, Siargkas A, Tranidou A, Apostolopoulou A, Tsakiridis I, Bamidis PD, Stavros S, Potiris A, Chourdakis M, Dagklis T.   +9 more
europepmc   +1 more source

Effectiveness of taking sequential mechanical ventilation in AECOPD with respiratory failure and risk factors for treatment failure. [PDF]

Front Med (Lausanne)
Xu R, Liu H, Liu Y, Mao C.
europepmc   +1 more source

Predictive models for one-year renal function improvement in patients with atherosclerotic renal artery stenosis (ARAS) following renal artery revascularization: a real-world study from China. [PDF]

Ren Fail
Dong L, Li Y, Fan F, Jia J, Li J.
europepmc   +1 more source

Orthognathic surgery and postoperative nausea and vomiting: An 11-year retrospective observational study. [PDF]

PLoS One
Watanabe T, Uozumi R, Kawamura T, Sasaki M, Okada R, Inoue S, Kashiwagi M, Fukuhara S, Yamanaka S, Mishima S, Yamaguchi A, Hirota M.   +11 more
europepmc   +1 more source