219 research outputs found
Unsupervised modeling of cell morphology dynamics for time-lapse microscopy
No full textAnalysis of cellular phenotypes in large imaging data sets conventionally involves supervised statistical methods, which require user-annotated training data. This paper introduces an unsupervised learning method, based on temporally constrained combinatorial clustering, for automatic prediction of cell morphology classes in time-resolved images. We applied the unsupervised method to diverse fluorescent markers and screening data and validated accurate classification of human cell phenotypes, demonstrating fully objective data labeling in image-based systems biology.Fil: Zhong, Qing. Swiss Federal Institute Of Technology Zurich; SuizaFil: Busetto, Alberto Giovanni. Swiss Federal Institute Of Technology Zurich; SuizaFil: Fededa, Juan Pablo. Swiss Federal Institute Of Technology Zurich; Suiza. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Buhmann, Joachim M.. Swiss Federal Institute Of Technology Zurich; SuizaFil: Gerlich, Daniel W.. Swiss Federal Institute Of Technology Zurich; Suiz
Fotochimica e Chimica delle Radiazioni al CNR di Bologna
No full textLa riforma del CNR, il cui primo atto si rifà alla legge n. 283 del 2 marzo 1963, ha avuto importanti ricadute anche a Bologna. Infatti, in questa città nel 1968 è stato istituito il Laboratorio di Fotochimica e Radiazioni d’Alta Energia (FRAE), trasformato nel 1979 nell’Istituto omonimo, di cui faceva parte anche una sede distaccata a Legnaro, e diventato ISOF (Istituto per la Sintesi Organica e la Fotoreattività) nel 2002, a seguito di una riorganizzazione generale degli istituti del CNR.
La nascita del FRAE si deve fondamentalmente alla lungimiranza di Giovanni Semerano e Alberto Breccia da sempre attenti ai nuovi filoni di ricerca in ambito internazionale. Il primo è stato Direttore del Laboratorio FRAE dall’anno della sua istituzione fino al 1976, mentre il secondo è stato per anni segretario del Comitato Nazionale delle Scienze Chimiche del CNR e riferimento costante per lo sviluppo delle linee di ricerca in ambito nazionale.
Al CNR di Bologna le due anime, Fotochimica e Chimica della Radiazioni, si sono sviluppate in stretto contatto e le ricerche effettuate in entrambi gli ambiti disciplinari per la loro elevata qualità e innovazione hanno permesso la nascita di collaborazioni internazionali offrendo così a molti giovani la possibilità di compiere esperienze in gruppi esteri di grande valore
Atti del Terzo, Quarto e Quinto Incontro dell’Associazione Genovese di Studî Vedici e Pāṇiniani (Genova, 26. luglio 2004 · 27. luglio 2005 · 29. giugno 2006)
No full textAtti di convegni; temi trattati: radice indoeuropea, lessico indoeuropeo, formazione delle parole, lessico medico indiano, scrittura indiana, sintassi anticoindiana, mitologia anatolica, mitologia persiana e roman
Bilateral Metachronous Typical and Atypical Carcinoid Tumors of the Lung
No full textABSTRACT Bronchial carcinoids are uncommon neuroendocrine tumors. According to their pathological differentiation, they are divided into typical and atypical forms, with diverse biological behavior and aggressiveness. Bronchial carcinoids may be associated with familial neuroendocrine syndromes, such as MEN‐1. They can also present initially as diffuse hyperplastic proliferation of neuroendocrine foci throughout the pulmonary parenchyma (DIPNECH). Metachronous and bilateral forms are sporadic in the literature. We describe a case of a 68‐year‐old man with metachronous bilateral typical‐atypical carcinoid neoplasms. The patient was treated with a two‐stage mini‐invasive pulmonary surgery in a time frame of 5 years. This case may be unique because it features two rare and distinct pathological entities in the same patient, not associated with any known genetic mutation. Carcinoid tumors require multidisciplinary care and a collaborative approach due to their pleomorphic behavior, ensuring comprehensive management and maximizing therapeutic efficacy
Perioperative outcomes in redo VATS for pulmonary ipsilateral malignancy: A single center experience
No full textBackground: The role of video-assisted thoracoscopic surgery for oncological major pulmonary resections is now well established; however, the literature within pulmonary re-operations is still limited. The purpose of this study is to evaluate the safety and efficacy of redo thoracoscopic resections for ipsilateral pulmonary malignancy. Methods: Data from patients undergoing video-assisted thoracoscopic surgery at the Unit of Thoracic Surgery of Padua were analyzed, comparing the results between the first and second ipsilateral surgery. The retrospective study included patients who underwent 2 thoracoscopic surgeries for oncological reasons between 2015 and 2022. The variables considered included patients' baseline characteristics, pre, intra, and postoperative data. Results: The study enrolled 51 patients undergoing ipsilateral thoracoscopic re-operation. The statistical analysis showed that surgical time (95min vs 115min; p = 0.009), the presence of intrapleural adhesions at second surgery (30 % vs 76 %; p 0.9) and complications (5.8 % vs 15.6 %; p = 0.11). The conversion rate to open surgery was 11.8 %. Conclusion: Although some differences emerged between the first and second intervention, they had minimal impact on the clinical course of the patients. Therefore, thoracoscopic surgery has been shown to be safe and effective in re-operations with satisfying perioperative outcomes. To achieve such results, these procedures should be reserved for experienced surgeons
Approximate Bayesian computation.
No full textApproximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics. In all model-based statistical inference, the likelihood function is of central importance, since it expresses the probability of the observed data under a particular statistical model, and thus quantifies the support data lend to particular values of parameters and to choices among different models. For simple models, an analytical formula for the likelihood function can typically be derived. However, for more complex models, an analytical formula might be elusive or the likelihood function might be computationally very costly to evaluate. ABC methods bypass the evaluation of the likelihood function. In this way, ABC methods widen the realm of models for which statistical inference can be considered. ABC methods are mathematically well-founded, but they inevitably make assumptions and approximations whose impact needs to be carefully assessed. Furthermore, the wider application domain of ABC exacerbates the challenges of parameter estimation and model selection. ABC has rapidly gained popularity over the last years and in particular for the analysis of complex problems arising in biological sciences (e.g., in population genetics, ecology, epidemiology, and systems biology)
Near-optimal selection of parallel inputs in Bayesian experimental design for systems biology
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