Unlocking relief: Lower half laminectomy for lumbar disc herniation under spinal anesthesia: An institutional perspective by Jiwesh Kumar, Kaushik Roy, Krishnendu Sardar, Anita Singh

“…The technique allowed for early mobilization, reduced hospital stay apart from a shorter learning curve requirement as compared to microscopic or endoscopic procedures. …”
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Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic revi... by Uchechi Shirley Anaduaka, Ayomide Oluwaseyi Oladosu, Samantha Katsande, Clinton Sekyere Frempong, Success Awuku-Amador

“…The review revealed that the supervised machine learning method was the most common AI approach and was used to improve the early detection of depression and anxiety among perinatal women. …”
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Pathophysiology of Alzheimer’s Disease: Focus on H3 Receptor Modulators and Their Implications by Nagaraju Bandaru, Sarad Pawar Naik Bukke, Veera Mani Deepika Pedapati, Gurugubelli Sowjanaya, Vangmai Swaroopa Suggu, Swathi Nalla, Prashik Bhimrao Dudhe, Joseph Obiezu Chukwujekwu Ezeonwumelu, Abdullateef Isiaka Alagbonsi, Hope Onohuean

“…There has been an increasing concern in recent years targeting the histamine H3 receptor (H3R) in treating cognitive disorders, including dementia. Preclinical studies have shown that antagonists of H3R or inverse agonists enhance the cognitive function in animal models with dementia by increasing the release of neurotransmitters associated with learning and memory. …”
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Professionals’ perspectives on factors affecting GP trainees’ patient mix: results from an interview and focus group study among professionals working in Dutch general practice by Nynke van Dijk, Sarah de Bever, Suzanne C van Rhijn, Anneke Kramer, Mechteld R M Visser

“…Introduction Seeing and treating patients in daily practice forms the basis of general practitioner (GP) training. …”
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The Evolving Role of Anaesthesiologist in Chronic Pain Management: A Narrative Review on Innovations and Future Perspectives by Vinit Sunil Dhanure, Nikhil Bhalerao, Amreesh Paul

“…Increasing integration of Artificial Intelligence (AI) and machine learning with personalised pain care represents a new frontier, promising greater diagnostic accuracy, treatment planning and predictive outcomes. …”
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Student Perceptions of Growth-Facilitating and Growth-Constraining Factors of Practice Placements: A Comparison between Japanese and United Kingdom Occupational Therapy Students by Reiko Miyamoto, Dido Green, Peter Bontje, Natsuka Suyama, Nobuo Ohshima, Sally S. A. Fever, Jenny Butler

“…Japanese students perceived that preparatory study led to successfully treating clients during placement, and they tended to commit to placement assignments at the expense of time outside. …”
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…Individual physiotherapy is crucial in treating patients with various pain and health issues, and significantly impacts abdominal surgical outcomes and further medical problems. …”
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Integrating Computational Design and Experimental Approaches for Next-Generation Biologics by Ahrum Son, Jongham Park, Woojin Kim, Wonseok Lee, Yoonki Yoon, Jaeho Ji, Hyunsoo Kim

“…As the field advances, we can anticipate increasingly sophisticated and effective protein therapeutics for treating human diseases.…”
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Faculty perspectives on supervising endocrinology residents in the longitudinal clinic setting by Isabella Albanese, Katherine Drummond, Vanessa Tardio, Diana Dolmans

“…These include supervisors treating residents as colleagues and making clinic experiences reflect real life when possible. …”
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Clinical application and immune infiltration landscape of stemness‐related genes in heart failure by Wenting Yan, Yanling Li, Gang Wang, Yuan Huang, Ping Xie

“…Feature selection was performed using two machine learning algorithms. Nomogram models were then constructed to predict HF risk based on the selected key genes. …”
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Identifying the NEAT1/miR-26b-5p/S100A2 axis as a regulator in Parkinson's disease based on the ferroptosis-related genes. by Taole Li, Jifeng Guo

“…Our findings provide new solutions for treating PD.…”
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Immunological biomarkers and gene signatures predictive of radiotherapy resistance in non-small cell lung cancer by Jie Lv, Chun-yang Yu, Yao-zu Xiong, Ting-ting Dai, Xiao-chu Hu, Peng Pan, Shun Yue, Chang-hua Yu

“…IntroductionA significant challenge in treating non-small cell lung cancer (NSCLC) is its inherent resistance to radiation therapy, leading to poor patient prognosis. …”
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A systematic review of the therapeutic potential of nicotinamide adenine dinucleotide precursors for cognitive diseases in preclinical rodent models by Musaab Abdulrazzaq Qader, Leila Hosseini, Nasrin Abolhasanpour, Farnaz Oghbaei, Leila Maghsoumi-Norouzabad, Hanieh Salehi-Pourmehr, Fatemeh Fattahi, Reza Naghdi Sadeh

“…The outcomes of this investigation may lead to additional studies on the use of NAD+ precursors for treating human cognitive decline.…”
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Underground personnel recognition based on low-light enhancement of infrared and visible light image fusion by NAN Jingjing, PAN Hongguang, JIANG Ze, ZHANG Libin, ZHANG Huipeng

“…Existing infrared and visible light image fusion methods based on deep learning use only infrared information to fill in the scene defects caused by the light degradation of visible images under weak lighting conditions. …”
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Sappanone A mitigates cognitive impairment and oxidative stress through modulation of α7 nicotinic acetylcholine receptor in rats with trimethyltin-induced Alzheimer’s disease-like... by Kushagra Nagori, Madhulika Pradhan, Kartik T. Nakhate

“…Results and Discussion: TMT-treated rats exhibited significant deficits in learning and memory performance. …”
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Wearable Artificial Intelligence for Sleep Disorders: Scoping Review by Sarah Aziz, Amal A M Ali, Hania Aslam, Alaa A Abd-alrazaq, Rawan AlSaad, Mohannad Alajlani, Reham Ahmad, Laila Khalil, Arfan Ahmed, Javaid Sheikh

“…Technology companies should prioritize advancements such as deep learning algorithms and invest in wearable AI for treating sleep disorders, given its potential. …”
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Classification of patients with relapsed/refractory large B-cell lymphoma who do not develop early CRS/NE toxicity using ZUMA clinical trial data by Davide Bedognetti, David M Barrett, Jorge Andrade, Sabina Adhikary, Mike Mattie, Kelly Speth, Jin Xie, Rhine Shen, Qinghua Song, Jenny J Kim

“…Such knowledge can be used to help treating centers prospectively manage patient care, including consideration of outpatient treatment.…”
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Vulnerability-Based Economic Loss Rate Assessment of a Frame Structure Under Stochastic Sequence Ground Motions by Zheng Zhang, Yunmu Jiang, Zixin Liu

“…Recent studies have often employed Copula-based joint distributions or machine learning techniques to simulate the statistical dependency between mainshock and aftershock parameters. …”
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Luria-Tsvetkova’s Legacy in Neuropsychological Rehabilitation with New Clinical Applications: the Case of Psychiatry by Joaquim Quintino-Aires, Gonçalo Leones-Couto, Heitor Roman, Filipe Gonçalves

“…Akhutina, developed the application of this methodology to children with specific learning difficulties. Also with excellent effectiveness. …”
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Transcranial direct current simulation as an adjunctive treatment for treatment-resistant depression in hospitalized patients: A feasibility study protocol. by John W Li, Caili Ren, Vanessa K Pazdernik, Simon Kung, Michael R Basso, Paul E Croarkin, Bina Aaron, Amanda M Anderson, Courtney A Caves, Misty N Hemm, Ashley L Holland, Charlie R Hoth, Emily A Jazdzewski, Eduardo Kabristante, Mahathi Kandimalla, Carly B Mickle, Hoon-Ki Min, Can Ozger, Justine M Parsons, Roberta L Sheldon, Michelle K Skime, Erik K St Louis, Yogatheesan Varatharajah, Neeraj Wagh, Kirk M Welker, Sarah M Williams, Gregory A Worrell, Maria I Lapid

“…Transcranial direct current stimulation (tDCS) is clinically effective in treating treatment-resistant depression (TRD), as measured by response, symptom improvement, and disease remission. …”
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