Results 221 to 230 of about 39,993 (313)

Spatially aware radiomics integrating anatomical knowledge to improve lymph node malignancy prediction in head and neck cancer

Journal of Applied Clinical Medical Physics, Volume 27, Issue 2, February 2026.
Abstract Background Radiomics holds the potential to improve the diagnostic evaluation of equivocal lymph nodes in head and neck cancer (HNC). While conventional radiomics models utilize features such as intensity, geometry, and texture of individual lymph node, they often neglect key spatial and anatomical characteristics tied to lymphatic ...
Liyuan Chen, Sepeadeh Radpour, Michael Dohopolski, David Sher, Jing Wang   +4 more
wiley   +1 more source

Anatomical variations of the recurrent laryngeal nerve and postoperative outcomes in thyroid surgeries conducted at a teaching hospital in Ethiopia. [PDF]

Sci Rep
Wubie AG, Biadgelign MG, Fentahun N, Bugis SP, Mengistie CT, Mengistie BT, Negussie MA, Amsalu BT, Woldehana NA, Tsegaye YA, Andargie DG.   +10 more
europepmc   +1 more source

Esketamine/Ketamine: Dual‐Action Mechanisms and Clinical Prospects beyond Anesthesia in Psychiatry, Immunology, and Oncology

Advanced Science, Volume 13, Issue 7, 3 February 2026.
Esketamine and ketamine are widely used for perioperative analgesia and anesthesia. Despite their established roles in analgesia, sedation, and anesthesia, as well as emerging antidepressant, anti‐tumor, and anti‐inflammatory effects, their clinical use is limited due to side effects and addiction potential.
Yinxin Wang, Jiangang Xu, Xinyu Zhou, Lu Che, Minghan Qiu, Yang Liu, Ming Gao, Zhen Yang   +7 more
wiley   +1 more source

SHMT1, an amino acid metabolism-related gene, is an independent prognostic biomarker in laryngeal squamous cell carcinoma. [PDF]

BMC Cancer
Lin D, Jia Q, Zhang X, Shan C, Wang J.
europepmc   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, Volume 12, Issue 3, 4 February 2026.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

Use of Artificial Intelligence for Diagnosing Oral Mucosa Conditions: A Review. [PDF]

Diagnostics (Basel)
Andrzejczak B, Diedul A, Szczepankiewicz A, Trojanowski P, Skrzypczak A, Bączkiewicz A, Szymańska H, Wyganowska ML, Ślebioda Z.   +8 more
europepmc   +1 more source

TBX3‐ Related Disorder

American Journal of Medical Genetics Part A, Volume 200, Issue 2, Page 291-299, February 2026.
ABSTRACT Heterozygous pathogenic variants in TBX3 cause Ulnar‐Mammary syndrome (UMS). The phenotype is classically characterized by upper limb defects, apocrine/mammary gland hypoplasia, hypogonadism, and various midline defects. However, the clinical spectrum is highly variable, and some individuals may present with a mild or atypical presentation ...
Ziv Halperin, Karin Weiss
wiley   +1 more source

Two Molecular Subgroups Predict Most Recurrences in Advanced Laryngeal Squamous Cell Carcinoma. [PDF]

Cancer Res Commun
Popov TM, Stancheva GS, Petkova V, Kyurkchiyan S, Dimitrov S, Dimitrov L, Ilcheva B, Fakirova AD, Skelina S, Marinov T, Kaneva RP.   +10 more
europepmc   +1 more source

Are the SORG and OPTImodel, Tokuhashi and Tomita Algorithms Still Suitable as Predictors of Survival in Patients With Vertebral Metastases in Routine Clinical Practice?

Cancer Medicine, Volume 15, Issue 2, February 2026.
The study evaluated survival prediction algorithms for vertebral metastases, comparing Tokuhashi, Tomita, SORG ML, and OPTImodel. Tokuhashi showed the highest accuracy for < 6 months (77.5%) and OPTImodel for > 1 year (90.8%). Overall, newer models (SORG ML, OPTImodel) did not outperform classic methods, highlighting limitations in predicting survival ...
Julián Cabria Fernández, Pablo González‐Herráez Fernández, Javier Mateo Negreira, Pedro Arcos González   +3 more
wiley   +1 more source