In vivo electrophysiology recordings and computational modeling can predict octopus arm movement [0.03%]
体内电生理记录和计算建模可以预测章鱼手臂运动
Nitish Satya Sai Gedela,Ryan D Radawiec,Sachin Salim et al.
Nitish Satya Sai Gedela et al.
The octopus has many features that make it advantageous for revealing principles of motor circuits and control and predicting behavior. Here, an array of carbon electrodes providing single-unit electrophysiology recordings were implanted in...
Advice for translational neuroscience: move deliberately and build things [0.03%]
关于转化神经科学的建议：稳扎稳打，厚积薄发
Seth A Hays,Robert L Rennaker,Michael P Kilgard
Seth A Hays
Advancing cancer therapy with custom-built alternating electric field devices [0.03%]
具有定制功能的交替电流场设备促进癌症治疗
Isobel Jobson,Nguyen T N Vo,Edward Kujawinski et al.
Isobel Jobson et al.
Background: In glioblastoma (GBM) therapy research, tumour treating fields by the company Novocure™, have shown promise for increasing patient overall survival. When used with the chemotherapeutic agent temozolomide, the...
Next generation bioelectronic medicine: making the case for non-invasive closed-loop autonomic neuromodulation [0.03%]
下一代生物电子医药：非侵入性封闭式自主神经调节的利弊分析
Imanuel Lerman,Yifeng Bu,Rahul Singh et al.
Imanuel Lerman et al.
The field of bioelectronic medicine has advanced rapidly from rudimentary electrical therapies to cutting-edge closed-loop systems that integrate real-time physiological monitoring with adaptive neuromodulation. Early innovations, such as c...
Exploring the efficacy of Transcutaneous Auricular Vagus nerve stimulation (taVNS) in modulating local and systemic inflammation in experimental models of colitis [0.03%]
探讨经皮耳迷走神经刺激在实验性结肠炎模型中调节局部和全身炎症的有效性的研究
Fatemeh Hesampour,Diane M Tshikudi,Charles N Bernstein et al.
Fatemeh Hesampour et al.
Background: Current inflammatory bowel disease (IBD) treatments often fail to achieve lasting remission and have adverse effects. Vagus nerve stimulation (VNS) offers a promising therapy due to its anti-inflammatory effec...
Clinical trials in neuromodulatory treatment of drug-resistant hypertension and the need for spinal cord stimulation trials: a PRISMA systematic review [0.03%]
药物抵抗性高血压的神经调节治疗临床试验及脊髓刺激疗法试验的需求：系统综述(PRISMA)
Garrett W Thrash,Elijah Wang,Yifei Sun et al.
Garrett W Thrash et al.
Background: Drug-resistant hypertension affects approximately 9-18% of the United States hypertensive population. Recognized as hypertension that is resistant to three or more medications, drug-resistant hypertension can ...
Comparisons of different electrical stimulation modalities for treating visceral pain in a rodent model of irritable bowel syndrome [0.03%]
不同电刺激治疗易激惹肠综合征内脏痛的效果比较研究小鼠模型中的效果比较研究
Md Jahangir Alam,Tingting Zhao,John W Wiley et al.
Md Jahangir Alam et al.
The purpose of this study was to investigate the effects of different electrical stimulation methods (bilateral electroacupuncture (BEA), unilateral EA (UEA), transcutaneous electrical acustimulation (TEA, stimulation via surface electrodes...
Blue light stimulation of the blind spot in human: from melanopsin to clinically relevant biomarkers of myopia [0.03%]
人眼盲视区蓝光刺激：从黑视蛋白谈到轴性近视的临床生物标志物研究进展
Ana Amorim-de-Sousa,Ranjay Chakraborty,Michael J Collins et al.
Ana Amorim-de-Sousa et al.
The protective effects of time spent outdoors emphasize the major role of daylight in myopia. Based on the pathophysiology of myopia, the impact of blue light stimulation on the signaling cascade, from melanopsin at the blind spot to clinic...
Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression [0.03%]
基于机器学习优化的重大抑郁症无创大脑刺激及治疗反应分类法
Alejandro Albizu,Aprinda Indahlastari,Paulo Suen et al.
Alejandro Albizu et al.
Background/objectives: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation intervention that shows promise as a potential treatment for depression. However, the clinical efficacy of tDCS var...
Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings [0.03%]
基于机器学习的集成电子健康记录的opioid过量风险预测工具的设计与开发
Khoa Nguyen,Debbie L Wilson,Julie Diiulio et al.
Khoa Nguyen et al.
Background: Integrating advanced machine-learning (ML) algorithms into clinical practice is challenging and requires interdisciplinary collaboration to develop transparent, interpretable, and ethically sound clinical deci...