Publications by authors named "MAGGIONI G"

Background And Objectives: Several computational pipelines for biomedical data have been proposed to stratify patients and to predict their prognosis through survival analysis. However, these analyses are usually performed independently, without integrating the information derived from each of them. Clustering of survival data is an underexplored problem, and current approaches are limited for biomedical applications, whose data are usually heterogeneous and multimodal, with poor scalability for high-dimensionality.

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Hidradenocarcinoma (HAC) is a rare malignant neoplasm originating from eccrine sweat glands, often presenting diagnostic challenges because of its resemblance to other malignancies, particularly breast cancer when occurring in the chest region. This report describes 2 cases of HAC with axillary lymph node metastasis, both initially misinterpreted clinically. The first case involved a 63-year-old woman with a sternal mass, near the right breast, initially suspected to be a sebaceous cyst.

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Article Synopsis
  • The WHO and International Consensus Classification 2022 aim to improve diagnosis and treatment decisions for myelodysplastic syndromes, but disparities in their implementation exist.
  • A panel of experts used a data-driven method and the Delphi consensus process to align the two classifications, focusing on genomic features to create harmonized labels for distinct clusters.
  • Key findings identified nine genomic clusters, with the most significant linked to biallelic TP53 inactivation, and highlighted the inadequacy of traditional morphological assessments in capturing the complexity of these diseases.
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Background: Psychopathological disorders are often comorbid diagnosis in eating disorders (EDs). We aimed to assess the presence of psychopathological traits and symptoms associated with EDs in an Italian high school adolescent population.

Methods: A sample of high school adolescents was enrolled, and demographic and clinical data were collected.

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Purpose: Rare cancers constitute over 20% of human neoplasms, often affecting patients with unmet medical needs. The development of effective classification and prognostication systems is crucial to improve the decision-making process and drive innovative treatment strategies. We have created and implemented MOSAIC, an artificial intelligence (AI)-based framework designed for multimodal analysis, classification, and personalized prognostic assessment in rare cancers.

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  • Allogeneic hematopoietic stem-cell transplantation is the only curative option for patients with myelodysplastic syndromes, and the timing of this treatment is crucial for maximizing benefits and minimizing risks.
  • A decision support system was developed to identify the optimal timing for HSCT based on clinical and genomic data from a large study of over 7,000 patients, comparing outcomes using the Molecular International Prognostic Scoring System (IPSS-M) against traditional scoring methods.
  • The findings suggest that patients with lower risk can benefit from delaying transplantation, while those at higher risk should undergo it immediately, indicating that the IPSS-M strategy significantly improves life expectancy and supports personalized treatment plans.
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  • Most new drug approvals rely on large randomized clinical trials (RCTs), but results can vary even among similar trials, making it hard to apply findings broadly.
  • There is a gap between conclusions drawn from RCTs and those based on real-world data (RWD), which reflects actual patient experiences outside of controlled settings.
  • The use of real-world evidence (RWE) from RWD, especially when enhanced by artificial intelligence, is gaining traction in haematology and could help support regulatory decisions alongside traditional trial data.
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Background: The implementation of regular prolonged, and effective rehabilitation in people with Parkinson's disease is essential for ensuring a good quality of life. However, the continuity of rehabilitation care may find barriers related to economic, geographic, and social issues. In these scenarios, telerehabilitation could be a possible solution to guarantee the continuity of care.

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Eating disorders (ED) are one of the most prevalent chronic disorders in adolescents and young adults, with a significantly increasing prevalence in younger children, particularly in girls. Even if obesity in essence is not framed as an eating disorder and has always been considered a separate pathology, ED and obesity could be considered part of a continuum. It has become evident that one condition can lead to another, such as binge eating disorder (BED) and bulimia nervosa, and that they share the same repercussions in terms of psychosocial, metabolic, and nutritional health.

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Disseminated or military tuberculosis (TB) is defined as the presence of at least two non-contiguous sites of , occurring as a result of progressive primary infection, reactivation and spread of a latent focus or due to iatrogenic origin. Disseminated TB represents a life-threatening condition, especially in at-risk children and when diagnosis and treatment are delayed. We report on a case of a 3-year old boy who presented with long-lasting unrecognised disseminated TB that was successfully managed in a low-resource setting.

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Severe mucormycosis is a fatal disease rarely complicating chronic lymphoproliferative disorders. We present a fulminant and fatal case of a 74-year-old Caucasian woman suffering from CLL treated with second-generation BTK inhibitor zanubrutinib. After a first septic episode a month prior, originating from the lung with later systemic involvement by an unidentified agent and treated with large-spectrum antibiotics and fluconazonle, a slow-onset enlarging tender warm and erythematous nodular swollen cutaneous lesion appeared in her lower limbs and spread subsequently to her upper limbs, progressing towards central ulceration with a necrotic core.

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Article Synopsis
  • Synthetic data are artificial datasets generated using algorithms that learn from real patient data, aiming to preserve privacy while accelerating research in life sciences, specifically in hematologic neoplasms.
  • The study utilized a conditional generative adversarial network to create high-fidelity synthetic data for conditions like myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), validating the data's accuracy and privacy through a robust framework.
  • Results showed that synthetic data could significantly augment existing clinical data, enhance research capabilities, and allow for the development of new molecular classification and scoring systems, ultimately benefiting clinicians through a user-friendly website for data generation.
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Echinococcosis is caused by tapeworms belonging to the Echinococcus genus. The most common site of infection is the liver although it may involve almost any organ. Symptoms of pulmonary echinococcosis vary depending on the location and structure of the cyst.

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Thermal neutron detection is a key subject for nuclear physics research and also in a wide variety of applications from homeland security to nuclear medicine. In this work, it is proposed a novel flexible and conformable composite thermal neutron scintillator based on a fully enriched Lithium Tetraborate preparation ([Formula: see text]Li[Formula: see text]B[Formula: see text]O[Formula: see text]) combined with a phosphorescent inorganic scintillator powder (ZnS:Ag), and is then distributed into a polydimethylsiloxane matrix. The proposed scintillator shows a good neutron detection efficiency (max.

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Article Synopsis
  • Myelodysplastic syndromes (MDS) require a specialized treatment approach, and the new Molecular International Prognostic Scoring System (IPSS-M) aims to enhance predictions for patient outcomes compared to the older IPSS-R model.
  • A study of 2,876 patients revealed that IPSS-M significantly improved survival predictions and shifted risk classifications in nearly half of the patients, even those without detectable gene mutations.
  • The findings suggest IPSS-M could better identify patients suitable for hematopoietic stem cell transplantation, although its effectiveness in certain treatment responses remains limited; further research on other influencing factors is necessary.
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Purpose Of Review: The aim of this review is to provide a complete perspective of the evidence that led to the three recent new landmarks of myelodysplastic syndromes (MDS) definition and prognostication: the WHO 2022 and International Consensus Classification (ICC) 2022 classification and the Molecular Intermational Prognostic Scoring System (IPSS-M) score.

Recent Findings: The molecular founding lesions of MDS are strongly linked with disease phenotype and prognosis, therefore the genetic assessment have become part of MDS classifications and prognostication.

Summary: The WHO 2022 now recognizes the class 'MDS with defining genetic abnormalities'.

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Spontaneous events have been reported after COVID-19 vaccination. In this case, we report a thrombotic event in an unusual site (ulnar artery) after COVID-19 vaccination. The patient (69 year-old-male) had no changes after a laboratory investigation regarding thrombophilic pattern, but nevertheless had atherothrombotic predisposing conditions.

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Most national health-care systems approve new drugs based on data of safety and efficacy from large randomized clinical trials (RCTs). Strict selection biases and study-entry criteria of subjects included in RCTs often do not reflect those of the population where a therapy is intended to be used. Compliance to treatment in RCTs also differs considerably from real world settings and the relatively small size of most RCTs make them unlikely to detect rare but important safety signals.

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Statins exert pleiotropic effects by influencing several mechanisms, including synaptogenesis, neurogenesis, cerebral flow regulation, and angiogenesis. Results from and animal models suggest that statins could have beneficial effect on functional recovery and outcome after stroke events. However, results in human studies are still controversial.

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Parkinson's disease (PD) is a chronic neurodegenerative disease involving a progressive alteration of the motor and non-motor function. PD influences the patient's daily living and reduces participation and quality of life in all phases of the disease. Early physical exercise can mitigate the effects of symptoms but access to specialist care is difficult.

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The ongoing COVID-19 pandemic has a major precedent almost exactly a century ago: the world-famous H1N1 influenza virus pandemic, sometimes known to the general public as the Spanish flu. From a history of medicine perspective, it is possible to underline many potential common traits between the two. In this article, hygiene and prophylaxis strategies are analyzed in a review of the most popular Italian general medical journals at the time of Spanish flu, being the most representative of them.

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Article Synopsis
  • * In a study of 1,794 people aged 80+, about one-third had mutations that correlated with lower survival rates and the likelihood of developing myeloid neoplasms, especially with specific mutations (like JAK2, DNMT3A, TET2).
  • * A predictive model based on mutation profiles and red blood cell index abnormalities categorized individuals into three risk groups for developing myeloid neoplasms; additionally, unexplained cytopenia in this age group could indicate underlying myeloid ne
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Purpose: Recurrently mutated genes and chromosomal abnormalities have been identified in myelodysplastic syndromes (MDS). We aim to integrate these genomic features into disease classification and prognostication.

Methods: We retrospectively enrolled 2,043 patients.

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