Results 111 to 120 of about 117,087 (303)

Recent progress on stimuli‐responsive chitosan‐based biomaterials as drug carriers

Interdisciplinary Medicine, EarlyView.
This review discusses the recent progress in chitosan‐based drug delivery systems that respond to pH, redox, enzymes, reactive oxygen species, and combined stimuli. It examines design strategies, key mechanisms, and therapeutic applications, and also addresses current challenges while suggesting future approaches to enhance clinical translation and ...
Changlu Xu, Yi‐Tung Lu, Bin Yang, Zhi Li, Kui Zeng   +4 more
wiley   +1 more source

Reward processing in children with affective dysregulation

JCPP Advances, EarlyView.
Abstract Background Affective dysregulation (AD) in children is characterized by irritability, anger, and frequent intense temper outbursts. Considerable evidence implies altered processing of frustration about missed rewards, but few studies investigated the preceding and thus potentially predictive reward anticipation and initial delivery processing ...
Pascal‐M. Aggensteiner, Francisca Giller, Nathalie Holz, Anna Kaiser, Christine Igel, Sarah Hohmann, Manfred Döpfner, Veit Roessner, Christian Beste, Tobias Banaschewski, Daniel Brandeis, on behalf ofthe ADOPT Consortium   +11 more
wiley   +1 more source

Optimal Selection of the Effective Echo Time (TEeff) for T2‐Weighted Fast‐Spin‐Echo MRI of the Prostate at 3.0 T: Effect on Lesion Conspicuity

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Clinical T2‐weighted (T2W) MRI of prostate cancer (PCa) usually implements a 2D fast‐spin‐echo (FSE) sequence, but understanding the echo‐time‐dependent contrast behavior is not straightforward due to the complicated FSE signal evolution.
Dahan Kim, Ronard Pabi, Eric A. Borisch, Adam T. Froemming, Roger C. Grimm, Sara Hassanzadeh, Akira Kawashima, Ayumu Kido, Naoki Takahashi, John V. Thomas, Stephen J. Riederer   +10 more
wiley   +1 more source

GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler, Roberto Souza, Ashley D. Harris   +2 more
wiley   +1 more source

Retrospective evaluation of palliative care consultation in critically ill adult and pediatric cancer subjects

Pediatric Investigation, EarlyView.
Children with cancer received more palliative care consultation before, but fewer during, critical illness compared with adults. This disparity suggests underuse of palliative care during pediatric critical care. ABSTRACT Importance Palliative care consultation is an essential component of comprehensive care for patients with cancer during critical ...
Conrad Krawiec, Neal Thomas
wiley   +1 more source

The Association Between Vasopressin and Adverse Kidney Outcomes in Children and Young Adults Requiring Vasopressors on Continuous Renal Replacement Therapy

Critical Care Explorations
OBJECTIVES:. Continuous renal replacement therapy (CRRT) and shock are both associated with high morbidity and mortality in the ICU. Adult data suggest renoprotective effects of vasopressin vs. catecholamines (norepinephrine and epinephrine). We aimed to
Denise C. Hasson, MD, Katja M. Gist, DO, MSc, JangDong Seo, PhD, Erin K. Stenson, MD, Aaron Kessel, MD, MS, Taiki Haga, MD, MSc, Sara LaFever, MD, PhD, Maria Jose Santiago, MD, PhD, Matthew Barhight, MD, MS, David Selewski, MD, MSCR, Zaccaria Ricci, MD, Nicholas J. Ollberding, PhD, Natalja L. Stanski, MD, on behalf of the Worldwide Exploration of Renal Replacement Outcomes Collaborative in Kidney Disease (WE-ROCK) Collaborative, Emily Ahern, CPNP, DNP, Ayse Akcan Arikan, MD, Issa Alhamoud, MD, Rashid Alobaidi, MD, MSc, Pilar Anton-Martin, MD, PhD, Shanthi S. Balani, MD, Matthew Barhight, MD, MS, Abby Basalely, MD, MS, Amee M. Bigelow, MD, MS, Gabriella Bottari, MD, Andrea Cappoli, MD, Eileen A. Ciccia, MD, Michaela Collins, BA, Denise Colosimo, MD, Gerard Cortina, MD, Mihaela A. Damian, MD, MPH, Sara De la Mata Navazo, MD, Gabrielle DeAbreu, MD, Akash Deep, MD, Kathy L. Ding, BS, Kristin J. Dolan, MD, Sarah N. Fernandez Lafever, MD, PhD, Dana Y. Fuhrman, DO, MS, Ben Gelbart, MBBS, Katja M. Gist, DO, MSc, Stephen M. Gorga, MD, MSc, Francesco Guzzi, MD, Isabella Guzzo, MD, Taiki Haga, MD, Elizabeth Harvey, MD, Denise C. Hasson, MD, Taylor Hill-Horowitz, BS, Haleigh Inthavong, BS, MS, Catherine Joseph, MD, Ahmad Kaddourah, MD, MS, Aadil Kakajiwala, MD, MSCI, Aaron D. Kessel, MD, MS, Sarah Korn, DO, Kelli A. Krallman, BSN, MS, David M. Kwiatkowski, MD, Msc, Jasmine Lee, MSc, Laurance Lequier, MD, Tina Madani Kia, BS, Kenneth E. Mah, MD, MS, Eleonora Marinari, MD, Susan D. Martin, MD, Shina Menon, MD, Tahagod H. Mohamed, MD, Catherine Morgan, MD, MSc, Theresa A. Mottes, APRN, Melissa A. Muff-Luett, MD, Siva Namachivayam, MBBS, Tara M. Neumayr, MD, Jennifer Nhan Md, MS, Abigail O’Rourke, MD, Nicholas J. Ollberding, PhD, Matthew G. Pinto, MD, Dua Qutob, MD, Valeria Raggi, MD, Stephanie Reynaud, MD, Zaccaria Ricci, MD, Zachary A. Rumlow, DO, María J. Santiago Lozano, MD, PhD, Emily See, MBBS, David T. Selewski, MD, MSCR, Carmela Serpe, MSc, PhD, Alyssa Serratore, RN, MsC, Ananya Shah, BS, Weiwen V. Shih, MD, H. Stella Shin, MD, Cara L. Slagle, MD, Sonia Solomon, DO, Danielle E. Soranno, MD, Rachana Srivastava, MD, Natalja L. Stanski, MD, Michelle C. Starr, MD, MPH, Erin K. Stenson, MD, Amy E. Strong, MD, MSCE, Susan A. Taylor, MSc, Sameer V. Thadani, MD, Amanda M. Uber, DO, Brynna Van Wyk, ARNP, MSN, Tennille N. Webb, MD, MSPH, Huaiyu Zang, PhD, Emily E. Zangla, DO, Michael Zappitelli, MD, MSc, T. Christine, E. Alvarez, MHI, RN, Elizabeth Bixler, BS, Erica Blender Brown, MA, CRA, Cheryl L. Brown, BS, Ambra Burrell, BA, Anwesh Dash, BS, Jennifer L. Ehrlich, RN, MHA, Simrandeep Farma, HBSc, Kim Gahring, RN, BSN, CCRN, Barbara Gales, RN, Madison R. Hilgenkamp, Sonal Jain, MS, Kate Kanwar, BA, MS, Jennifer Lusk, BSN, RN, CCRN, Christopher J. Meyer, BA AA, Katherine Plomaritas, BSN, RN, Joshua Porter, BS, Jessica Potts, BSN, RN, Alyssa Serratore, BNurs, GDipNP(PIC), RN, MsC, Elizabeth Schneider, BS, Vidushi Sinha, BS, P. J. Strack, RN, BSN, CCRN, Sue Taylor, RN, Katherine Twombley, MD, Brynna Van Wyk, MSN, ARNP, CPNP, Samantha Wallace, MS, Janet Wang, BS, Megan Woods, BS, Marcia Zinger, RN, Alison Zong, BS   +130 more
doaj   +1 more source

Do We Really Know Why Carbon Nanotubes Grow?

Small, EarlyView.
The CNT growth mechanism is still debated. We propose a heterogeneous (2D) classical nucleation framework comparing pathways for graphenic patches, caps, and full CNTs. Despite its simplicity, it rationalizes key trends, including the correlation between catalyst particle size and CNT diameter.
Nicola Verziaggi, Matteo Bragagnolo, Niloufar Atashi, Paula Dias, Adelio Mendes, Gonzalo Prieto, Simone Meloni   +6 more
wiley   +1 more source

Congestion, decongestion, renal function and diuretics in (ESC) heart failure

ESC Heart Failure, Volume 12, Issue 2, Page 730-732, April 2025.
Jan Biegus, Piort Gajewski, Piotr Ponikowski   +2 more
wiley   +1 more source

Potential targets for renal cell carcinoma therapy: Mechanistic research and prospects of CAFs in renal cell carcinoma

VIEW, EarlyView.
Cancer‐associated fibroblasts exert intricate mechanisms in the progression and metastasis of renal cell carcinoma. Existing studies have validated the relevant mechanisms of three signaling pathways, which hold promising potential as novel therapeutic targets.
Ruiqiang Sun, Jiankun Zhang, Meixi Liu, Xiyue Dong, Yuanshan Cui   +4 more
wiley   +1 more source

From prediction to intervention: Paradigm shifts in causal AI for precision medicine and large‐scale cohorts

VIEW, EarlyView.
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao, Yudian Xu, Yifan Chen, Honghao Huang, Wei Xu, Jun Pu   +5 more
wiley   +1 more source