Article
Endocrinology & Metabolism
Eleftheria Gkaniatsa, Augustinas Sakinis, Magnus Palmer, Andreas Muth, Penelope Trimpou, Oskar Ragnarsson
Summary: The study found that imaging studies inaccurately predicted laterality in a significant number of young patients with PA. In contrast to current clinical guidelines, the results support the use of AVS for subtype evaluation in young adults with PA, including patients 35 years or younger.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Endocrinology & Metabolism
Adina F. Turcu, Richard Auchus
Summary: Recent studies have shown that primary aldosteronism (PA) has a higher prevalence among hypertensive patients than previously assumed, with the most common subtypes being aldosterone-producing adenomas (APAs) and bilateral hyperaldosteronism (BHA). Screening and distinguishing between different subtypes can be costly, and it is important to assess the likelihood of benefit from imaging and adrenal vein sampling before embarking on these studies.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Endocrinology & Metabolism
Seung Hun Lee, Jong Woo Kim, Hyun-Ki Yoon, Sang Wan Kim, Su Jin Kim, Kyu Eun Lee, Yu-Mi Lee, Tae-Yon Sung, Suck Joon Hong, Chan Soo Shin, Jung-Min Koh, Jung Hee Kim
Summary: The study analyzed the impact of AVS indices on postsurgical outcomes in PA patients. Results suggest that an LI value of >= 10 may be appropriate for achieving biochemical success, while CLR < 0.25 and ILR > 2 may be appropriate for achieving biochemical and clinical success.
CLINICAL ENDOCRINOLOGY
(2022)
Article
Peripheral Vascular Disease
Delin Ma, Xiaming Liu, Liwen Zeng, Penghui Yuan, Zheng Liu, Junhui Xie, Gang Yuan, Shaogang Wang, Xuefeng Yu, Yan Yang, Anhui Xu
Summary: The study showed that adrenal venous sampling (AVS) may be more beneficial in the surgical management of primary aldosteronism patients compared to computed tomography (CT), although there were no significant differences in postoperative outcomes between the two methods. AVS guided surgeries appeared to result in greater improvement and reduction in medications, indicating its potential advantages over CT in guiding surgical treatment.
JOURNAL OF HYPERTENSION
(2021)
Article
Peripheral Vascular Disease
Koshiro Nishimoto, Hironobu Umakoshi, Tsugio Seki, Masanori Yasuda, Ryuichiro Araki, Michio Otsuki, Takuyuki Katabami, Hirotaka Shibata, Yoshihiro Ogawa, Norio Wada, Masakatsu Sone, Shintaro Okamura, Shoichiro Izawa, Shozo Miyauchi, Takanobu Yoshimoto, Mika Tsuiki, Mitsuhide Naruse
Summary: The study found a relationship between PA pathology and adrenalectomy outcomes, with higher complete success rates in the large PA lesion group compared to the small lesion group. Serum potassium level was identified as an independent predictive factor for small PA lesions. These findings are significant for guiding clinical treatment of PA.
HYPERTENSION RESEARCH
(2021)
Article
Peripheral Vascular Disease
Nicholas Yozamp, Gregory L. Hundemer, Marwan Moussa, Johnathan Underhill, Tali Fudim, Barry Sacks, Anand Vaidya
Summary: The study investigated patients with primary aldosteronism who underwent adrenal venous sampling (AVS) and found significant variability in aldosterone concentrations during the procedure. A single measurement of venous aldosterone lacks precision and reproducibility in primary aldosteronism.
AMERICAN JOURNAL OF HYPERTENSION
(2021)
Article
Endocrinology & Metabolism
Hui Dong, Jiangnan Huang, Ying Zhang, Yifei Dong, Min Liu, Zhitao Yan, Jianling Li, Yang Chen, Yubao Zou, Jiguang Wang, Yuanyuan Kang, Zhiyuan Jiang, Wei Song, Yujie Zuo, Hongliang Xiong, Jianzhong Xu, Xiongjing Jiang
Summary: This study evaluated the success rate and safety of adrenal venous sampling (AVS) via the antecubital approach. The results showed that AVS via the antecubital approach is safe and feasible, with a high rate of successful sampling, and can be an alternative to femoral vein access.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Endocrinology & Metabolism
Carmina Teresa Fuss, Katharina Brohm, Martin Fassnacht, Matthias Kroiss, Stefanie Hahner
Summary: Postural stimulation testing (PST) is a simple and noninvasive method for differentiating between unilateral and bilateral primary aldosteronism (PA). A study showed that when the aldosterone plasma concentration decreased by at least 28% after 4 hours in the upright position, PST had a specificity of 100% for identifying unilateral disease.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Endocrinology & Metabolism
Youichi Ohno, Mitsuhide Naruse, Felix Beuschlein, Florentine Schreiner, Mirko Parasiliti-Caprino, Jaap Deinum, William M. Drake, Francesco Fallo, Carmina T. Fuss, Marianne A. Grytaas, Takamasa Ichijo, Nobuya Inagaki, Miki Kakutani, Darko Kastelan, Ivana Kraljevic, Takuyuki Katabami, Tomaz Kocjan, Silvia Monticone, Paolo Mulatero, Sam O'Toole, Hiroki Kobayashi, Masakatsu Sone, Mika Tsuiki, Norio Wada, Tracy Ann Williams, Martin Reincke, Akiyo Tanabe
Summary: AVS is the standard lateralization technique in PA. International data showed lower rates of unilateral PA and adrenalectomy in Japanese centers compared to European centers. Reasons for not performing adrenalectomy in patients with unilateral PA were more likely to be physician-derived in Japan and patient-derived in Europe.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Review
Endocrinology & Metabolism
Nathan Mullen, James Curneen, Padraig T. Donlon, Punit Prakash, Irina Bancos, Mark Gurnell, Michael C. Dennedy
Summary: Primary aldosteronism is a common cause of secondary hypertension with increased morbidity and mortality. The current limitations in patient care include delayed recognition, limited access to diagnostic procedures, and lack of a definitive therapy option for some patients. However, recent advances in machine learning algorithms, noninvasive diagnostics, and selective therapies have the potential to improve care for patients with primary aldosteronism.
Article
Medicine, General & Internal
Zhenglin Shen, Shaoyong Xu, Siyu Guan, Bo Chen, Qingan Li, Ming Yu, Zhao Gao
Summary: This study aimed to identify the appropriate signature veins for the right adrenal gland using a 3D model fused with adrenal venography images and to verify their accuracy through the selectivity index (SI) >2. The major venous morphology in the right anterior oblique at 30 degrees was found to be the trunk branch type, while irregular or hollow triangle types were infrequent. The central vein, brush vein, uvula vein, and capsular vein were identified as signature veins for the right adrenal venous sampling (AVS), and the accuracy of AVS was 100% in the other 53 patients, as verified by an SI >2.
ANNALS OF MEDICINE
(2023)
Article
Surgery
Olivia M. DeLozier, Sophie Dream, James W. Findling, William Rilling, Srividya Kidambi, Steven B. Magill, Douglas B. Evans, Tracy S. Wang
Summary: This study analyzed adrenal vein epinephrine and norepinephrine levels in nonpheochromocytoma patients to determine the normal range. The study found that there is a wide range of normal adrenal vein catecholamine levels in patients without pheochromocytoma, suggesting limited utility of adrenal venous sampling in determining the laterality of pheochromocytoma in patients with bilateral adrenal nodules.
JOURNAL OF SURGICAL RESEARCH
(2022)
Article
Endocrinology & Metabolism
Fabrizio Buffolo, Jacopo Pieroni, Federico Ponzetto, Vittorio Forestiero, Denis Rossato, Paolo Fonio, Antonello Nonnato, Fabio Settanni, Paolo Mulatero, Giulio Mengozzi, Silvia Monticone
Summary: This study assessed the impact of asymmetrical cortisol secretion on the lateralization index during adrenal venous sampling, and the effectiveness of metanephrines as a normalization factor for aldosterone levels. The results showed that 18% of patients with primary aldosteronism had asymmetrical cortisol secretion, and the use of metanephrines as a normalization factor improved the accuracy of diagnosis compared to aldosterone to cortisol lateralization index.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Endocrinology & Metabolism
Marianna Viukari, Eeva Kokko, Ilkka Porsti, Helena Leijon, Tiina Vesterinen, Tero Hinkka, Minna Soinio, Camilla Schalin-Jantti, Niina Matikainen, Pasi Nevalainen
Summary: Under cosyntropin-stimulated adrenal venous sampling, measurement of adrenal androgens did not improve cannulation selectivity. The performance of cortisol and adrenal androgens are confirmatory but not superior to cortisol-based results in lateralisation diagnostics of PA.
CLINICAL ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Tazuru Fukumoto, Hironobu Umakoshi, Masatoshi Ogata, Maki Yokomoto-Umakoshi, Yayoi Matsuda, Misato Motoya, Hiromi Nagata, Yui Nakano, Norifusa Iwahashi, Hiroki Kaneko, Norio Wada, Takashi Miyazawa, Ryuichi Sakamoto, Yoshihiro Ogawa
Summary: This study aimed to explore the role of two confirmatory tests in the subtype diagnosis of primary aldosteronism (PA). The results showed that patients with discordant results between confirmatory tests are highly likely to have a bilateral subtype on adrenal vein sampling (AVS).
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Transplantation
Jacopo Burrello, Silvia Monticone, Alessio Burrello, Sara Bolis, Carlotta Pia Cristalli, Giorgia Comai, Valeria Corradetti, Cristina Grange, Giuseppe Orlando, Massimiliano Bonafe, Gaetano La Manna, Lucio Barile, Benedetta Bussolati
Summary: This study explored the use of extracellular vesicle (EV) surface antigens as potential predictors of kidney transplant outcome. It found that endothelial cells and platelet markers in serum EVs were higher in patients with persistent kidney dysfunction, while mesenchymal progenitor cell markers in urine EVs increased in patients with renal recovery. These markers correlated with kidney function indicators and were able to predict patient outcomes.
NEPHROLOGY DIALYSIS TRANSPLANTATION
(2023)
Article
Peripheral Vascular Disease
Siyuan Gong, Martina Tetti, Elisabeth Kemter, Mirko Peitzsch, Paolo Mulatero, Martin Bidlingmaier, Graeme Eisenhofer, Eckhard Wolf, Martin Reincke, Tracy Ann Williams
Summary: TSPAN12 is a protein that is associated with the renin-angiotensin system and plays a negative regulatory role in the overproduction of aldosterone in primary aldosteronism.
Editorial Material
Biochemistry & Molecular Biology
Tracy Ann Williams, Martin Reincke
Summary: A clinical trial demonstrates the possibility of using noninvasive imaging to diagnose a surgically treatable subtype of primary aldosteronism, which is a common and often inadequately addressed form of hypertension.
Article
Computer Science, Information Systems
Andrea Borghesi, Alessio Burrello, Andrea Bartolini
Summary: In recent years, the Industrial Internet of Things (IIoT) has made significant progress in various industries by utilizing technologies such as Big Data processing and artificial intelligence (AI). Large-scale data centers can benefit from adopting Big Data analytics and AI-driven approaches for effective predictive maintenance. However, existing off-the-shelf solutions are not well-suited for high-performance computing (HPC) environments, as they do not sufficiently address the heterogeneous data sources and privacy concerns, or fully utilize the computing capabilities in supercomputing facilities. This article proposes an IIoT holistic and vertical framework for predictive maintenance in supercomputers, which includes a lightweight data monitoring infrastructure, specialized databases for heterogeneous data, and high-level AI functionalities tailored to the specific needs of HPC actors. The deployment and usage of this framework in several in-production HPC systems are presented and evaluated.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Chemistry, Analytical
Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Summary: Hand gesture recognition applications based on sEMG signals can benefit from on-device execution for faster and more predictable response times and higher energy efficiency. This study proposes a novel gesture recognition system that improves upon state-of-the-art models in terms of accuracy and efficiency by optimizing DL model architecture and execution.
Article
Biology
Claudia Altomare, Chiara Bartolucci, Luca Sala, Carolina Balbi, Jacopo Burrello, Nicole Pietrogiovanna, Alessio Burrello, Sara Bolis, Stefano Panella, Martina Arici, Rolf Krause, Marcella Rocchetti, Stefano Severi, Lucio Barile
Summary: An in silico hybrid model and an unsupervised learning algorithm were used to classify differentiated hiPSC-derived cardiomyocytes from a mixed population. The model derived electrical biomarkers and employed the dynamic clamp technique for classification. Pharmacological validation was performed to improve the translational relevance of the model.
COMMUNICATIONS BIOLOGY
(2023)
Article
Cardiac & Cardiovascular Systems
Maximilian Y. Emmert, Jacopo Burrello, Petra Wolint, Monika Hilbe, Gabriella Andriolo, Carolina Balbi, Elena Provasi, Lucia Turchetto, Marina Radrizzani, Timo Z. Nazari-Shafti, Nikola Cesarovic, Sebastian Neuber, Volkmar Falk, Simon P. Hoerstrup, Rayyan Hemetsberger, Mariann Gyoengyoesi, Lucio Barile, Giuseppe Vassalli
EUROPEAN HEART JOURNAL
(2023)
Article
Genetics & Heredity
Juilee Rege, Sascha Bandulik, Kazutaka Nanba, Carla Kosmann, Amy R. Blinder, Allein Plain, Pankaj Vats, Chandan Kumar-Sinha, Antonio M. Lerario, Tobias Else, Yuto Yamazaki, Fumitoshi Satoh, Hironobu Sasano, Thomas J. Giordano, Tracy Ann Williams, Martin Reincke, Adina F. Turcu, Aaron M. Udager, Richard Warth, William E. Rainey
Summary: This study identified mutations in the SLC30A1 gene associated with PA. The mutations are located near the zinc-binding site in the coding region of SLC30A1 and may cause abnormal ion transport. PA cases with SLC30A1 mutations showed male dominance and increased levels of aldosterone and 18-oxocortisol.
Article
Computer Science, Hardware & Architecture
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Summary: Neural Architecture Search (NAS) is a popular approach to optimize deep learning models for complex tasks, but its application in time-series processing and specifically for Temporal Convolutional Networks (TCNs) is less explored. This work proposes the first NAS tool targeting the optimization of key architectural parameters of TCNs, and achieves efficient and lightweight search for Pareto optimal architectures for various tasks.
IEEE TRANSACTIONS ON COMPUTERS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Josse Van Delm, Maarten Vandersteegenl, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
Summary: The optimal deployment of deep neural networks on state-of-the-art Systems-on-Chips is crucial for tiny machine learning at the edge. We propose a compiler called HTVM that merges TVM with DORY to maximize the utilization of heterogeneous accelerators and minimize data movements.
2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC
(2023)
Proceedings Paper
Computer Science, Information Systems
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Summary: In this study, we propose ODiMO, a hardware-aware tool for fine-grain mapping of DNNs across multiple accelerators onchip to reduce inference energy consumption or latency, while maintaining accuracy. Experimental results demonstrate that ODiMO effectively reduces energy/latency with limited accuracy drop compared to manual heuristic mappings.
2023 IEEE/ACM INTERNATIONAL SYMPOSIUM ON LOW POWER ELECTRONICS AND DESIGN, ISLPED
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
Summary: This work presents a hardware and software stack for energy-efficient inference of mixed-precision Quantized Neural Networks (QNNs). The Flex-V processor and a full framework are introduced to achieve high computation performance and energy efficiency. The results show promising performance and negligible area overhead compared to the baseline.
2023 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI, ISVLSI
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Panagiotis Kasnesis, Lazaros Toumanidis, Alessio Burrello, Christos Chatzigeorgiou, Charalampos Z. Patrikakis
Summary: This paper introduces a new deep learning model called PULSE, which utilizes temporal convolutions and feature-level multi-head cross-attention to improve the effectiveness of sensor fusion and achieve a certain level of explainability. Through evaluation on publicly available datasets, PULSE reduces the mean absolute error by 7.56% on the most extensive dataset, PPG-DaLiA. Additionally, the paper demonstrates the benefits of applying attention modules to PPG and motion data.
2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Summary: Quantization is a widely used method to reduce memory occupation, latency, and energy consumption of deep neural networks in cloud and edge systems. This study proposes a novel neural architecture search method that allows higher precision assignment based on important features, resulting in reduced memory and energy consumption while maintaining the same accuracy.
2022 IEEE 13TH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC)
(2022)