ASP Triangles: Sketching the Artificial Intelligence of a Mobile Platform

ASP triangles are a tool that we introduced to structure the design process of the on-board Artificial Intelligence (AI) of a mobile platform. Their value lies in taking into account the couplings and interactions between macroelements characterizing the platform and the mission context, in analogy to the paradigm shift introduced in aerospace structures by the development of aeroelasticity.My PhD is sponsored by Thales Alenia Spac

Countermeasure Leveraging Optical Attractor Kits (CLOAK): interpretational disruption of a visual-based workflow

Due to their negligible cost, small energy footprint, compact size and passive nature, cameras are emerging as one of the most appealing sensing approaches for the realization of fully autonomous intelligent mobile platforms. In defence contexts, passive sensors, such as cameras, represent an important asset due to the absence of a detectable external operational signature – with at most some radiation generated by their components. This characteristic, however, makes targeting them a quite daunting task, as their active neutralization requires pinning a small angular diameter moving at a high speed. In this paper we introduce an interpretational countermeasure acting against autonomous platforms relying on featurebased optical workflows. We classify our approach as an interpretational disruption because it exploits the heuristics of the model used by the on-board artificial intelligence to interpret the available data. To remove the struggle of accurately pinpointing such an imperceptible target, our approach consists in passively corrupting, from a perception point of view, the whole environment with a small, sparse set of physical observables. The concrete design of these systems is developed from the response of a feature detector of interest. We define an optical attractor as the collection of pixels inducing an exceptionally strong response for a target feature detector. We also define a physical object inducing these pixel structures for defense purposes as a CLOAK: Countermeasure Leveraging Optical Attractor Kits. Using optical attractors, any optical based algorithm relying on features extraction can potentially be disrupted, in a completely passive and nondestructive fashion

Efficacy of Cemiplimab in a patient affected by Cutaneous Squamous Cell Carcinoma and Myelodysplastic Syndrome

Cutaneous squamous cell carcinoma (cSCC) is a prevalent skin malignancy, often managed through surgical intervention. However, in certain cases, especially when complicated by concurrent hematologic disorders such as myelodysplastic syndrome (MDS), treatment options become more challenging. This abstract highlights a case study examining the efficacy of cemiplimab, a monoclonal antibody targeting programmed cell death protein 1 (PD-1), in a patient diagnosed with both cSCC and MDS. The patient, initially presenting with an advanced cSCC lesion and underlying MDS, underwent treatment with cemiplimab as a therapeutic approach. Monitoring of the patient's response included clinical evaluation, radiological assessments, and laboratory analyses. Results demonstrated a notable reduction in the size of the cSCC lesion and stabilization of hematologic parameters, suggesting a positive therapeutic effect of cemiplimab in this complex clinical scenario. This case underscores the potential utility of immunotherapeutic agents, specifically PD-1 inhibitors like cemiplimab, in the management of cutaneous malignancies coexisting with hematologic disorders. Further investigations and larger-scale studies are warranted to validate these findings and establish cemiplimab's role as a viable treatment option in similar clinical contexts

Perception fields: analysing distributions of optical features as a proximity navigation tool for autonomous probes around asteroids

This paper suggests a new way of interpreting visual information perceived by visible cameras in the proximity of small celestial bodies. At close ranges, camera-based perception processes generally rely on computational constructs known as features. Our hypothesis is that trends in the quantity of available optical features can be correlated to variations in the angular distance from the source of illumination. Indeed, the discussed approach is based on treating properties related to these detected optical features as readings of a field - the perception fields of the title, assumed induced by the coupling of the environmental conditions and the state of the sensing device. The extreme spectrum of shapes, surface properties and gravity fields of small celestial bodies heavily affects visual proximity operational procedures. Therefore, self-contained ancillary tools providing context and an evaluation of estimators' performance while using the least number of priors are extremely significant in these conditions. This preliminary study presents an analysis of the occurrences of optical feature observed around two asteroids, 101955 Bennu and (8567) 1996 HW1 in visual data simulated within Blender, a computer graphics engine. The comparison of three different feature detectors showed distinctive trends in the distribution of the detected optical features, directly correlated to the spacecraft-target-Sun angle, confirming our hypothesis

Clinical and trichoscopic graded live visual scale for androgenetic alopecia

Introduction: Currently, the mostly used classifications of androgenetic alopecia (AGA), only provide a macroscopic and subjective description of this disorder, without evaluating trichoscopic features. Objective: The aim of this study is to elaborate a graded live visual AGA severity scale including macroscopic and microscopic (trichoscopic) pictures, and to determine the most frequent trichoscopic characteristics associated to each grade. Methods: A retrospective observational study was conducted on 122 patients (50 females and 72 males) affected by AGA. Macroscopic and trichoscopic photographs were taken at standardized scalp points. Results: Each picture was ranked from AGA stage I to VII, according to Hamilton scale for men and Savin scale for women, and the most representative images of each severity degree were collected to produce a graded live visual scale. In males, two live visual scales, one for the anterior and one for posterior region of the scalp were created. In females, only one scale of the anterior region was realized. For each stage of severity, the corresponding trichoscopic parameters were statistically analyzed. Conclusions: We realized new macroscopic and trichoscopic graded live visual scales for male and female patients affected by AGA, which could help physicians in giving an objective evaluation of the disease and in better managing it

NAV-Landmarks: deployable 3D infrastructures to enable CubeSats navigation near asteroids

Autonomous operations in the proximity of Near Earth Objects (NEO) are perhaps the most challenging and demanding type of mission operation currently being considered. The exceptional variability of geometric and illumination conditions, the scarcity of large scale surface features and the strong perturbations in their proximity require incredibly robust systems to be handled. Robustness is usually introduced by either increasing the number and/or the complexity of on-board sensors, or by employing algorithms capable of handling uncertainties, often computationally heavy. While for a large satellite this would be predominantly an economic issue, for small satellites these constraints might push the ability to accomplish challenging missions beyond the realm of technical possibility. The scope of this paper is to present an active approach that allows small satellites deployed by a mothership to perform robust navigation using only a monocular visible camera. In particular, the introduction of Non-cooperative Artificial Visual landmarks (NAVLandmarks) on the surface of the target object is proposed to augment the capabilities of small satellites. These external elements can be effectively regarded as an infrastructure forming an extension of the landing system. The quantitative efficiency estimation of this approach will be performed by comparing the outputs of a visual odometry algorithm, which operates on sequences of images representing ballistic descents around a small non-rotating asteroid. These sequences of virtual images will be obtained through the integration of two simulated models, both based on the Apollo asteroid 101955 Bennu. The first is a dynamical model, describing the landing trajectory, realized by integrating over time the gravitational potential around a three-axis ellipsoid. The second model is visual, generated by introducing in Unreal Engine 4 a CAD model of the asteroid (with a resolution of 75 cm) and scattering on its surface a number N of cubes with side length L. The effect of both N and L on the navigation accuracy will be reported. While defining an optimal shape for the NAV-Landmarks is out of the scope of this paper, prescriptions about the beacons geometry will be provided. In particular, in this work the objects will be represented as high-visibility cubes. This shape satisfies, albeit in a non-optimal way, most of the design goals

The impact of a Clinical Decision Support System on allergen immunotherapy prescription in children and adults with seasonal allergic rhinitis

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IgE antibody repertoire in nasal secretions of children and adults with seasonal allergic rhinitis: A molecular analysis

Background: There is growing interest both in testing IgE in nasal secretions (NS) and in molecular diagnosis of seasonal allergic rhinitis (SAR). Yet, the reliability of nasal IgE detection with the newest molecular assays has never been assessed in a large cohort of pollen allergic patients. Objective: To investigate with microarray technology and compare the repertoires of specific IgE (sIgE) antibodies in NS and sera of a large population of children and adults with SAR. Methods: Nasal secretions were collected with an absorbent device (Merocel 2000®, Medtronic) and a minimal dilution procedure from 90 children and 71 adults with SAR. Total IgE (tIgE) (ImmunoCAP, Thermo Fisher Scientific (TFS)) and sIgE antibodies against 112 allergen molecules (ISAC-112, TFS) were measured in NS and serum. Results: Nasal sIgE was detectable in 68.3% of the patients. The detected nasal sIgE antibodies recognized airborne (88%), vegetable (10%), and animal food or other (<1%) allergen molecules. The prevalence and average levels of sIgE in NS and serum were highly interrelated at population level. A positive nasal sIgE antibody to a given molecule predicted the detection of the same antibody in the patient's serum with a specificity of 99.7% and a sensitivity of 40%. Conclusions: The concentration of sIgE is much lower in nasal secretions than in the serum. sIgE assays with very high analytical sensitivity and sampling methods with minimal dilution will be therefore needed to validate nasal secretions as alternative to serum in testing the sIgE repertoire

@IT2020: An innovative algorithm for allergen immunotherapy prescription in seasonal allergic rhinitis

Background: Allergen immunotherapy (AIT) is the only disease-modifying treatment in patients with seasonal allergic rhinoconjunctivitis (SAR). Its efficacy depends on the precise identification of the triggering allergen. However, diagnostics based on retrospective clinical history and sensitization to whole extracts (SWE) often leads to equivocal results. Objectives: To assess the usability and impact of a recently established algorithm for a clinical decision support system (@IT2020-CDSS) for SAR and its diagnostic steps [anamnesis, SWE (skin prick test or serum IgE), component resolved diagnosis, CRD, and real-time digital symptom recording, eDiary] on doctor's AIT prescription decisions. Methods: After educational training on the @IT2020-CDSS algorithm, 46 doctors (18 allergy specialists, AS, and 28 general practitioners, GP) expressed their hypothetical AIT prescription for 10 clinical index cases. Decisions were recorded repeatedly based on different steps of the algorithm. The usability and perceived impact of the algorithm were evaluated. Results: The combined use of CRD and an eDiary increased the hypothetical AIT prescriptions, both among AS and GP (p < .01). AIT prescription for pollen and Alternaria allergy based on anamnesis and SWE was heterogeneous but converged towards a consensus by integrating CRD and eDiary information. Doctors considered the algorithm useful and recognized its potential in enhancing traditional diagnostics. Conclusions and clinical implications: The implementation of CRD and eDiary in the @IT2020-CDSS algorithm improved consensus on AIT prescription for SAR among AS and GP. The potential usefulness of a CDSS for aetiological diagnosis of SAR and AIT prescription in real-world clinical practice deserves further investigation

Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study

Background: Mobile health technologies enable allergists to monitor disease trends by collecting daily patient-reported outcomes of allergic rhinitis. To this end, patients with allergies are usually required to enter their symptoms and medication repetitively over long time periods, which may present a risk to data completeness and quality in the case of insufficient effort reporting. Completeness of patient’s recording is easily measured. In contrast, the intrinsic quality and accuracy of the data entered by the patients are more elusive. Objective: The aim of this study was to explore the association of adherence to digital symptom recording with a predefined set of parameters of the patient-generated symptom and medication scores and to identify parameters that may serve as proxy measure of the quality and reliability of the information recorded by the patient. Methods: The @IT.2020 project investigates the diagnostic synergy of mobile health and molecular allergology in patients with seasonal allergic rhinitis. In its pilot phase, 101 children with seasonal allergic rhinitis were recruited in Rome and instructed to record their symptoms, medication intake, and general conditions daily via a mobile app (AllergyMonitor) during the relevant pollen season. We measured adherence to daily recording as the percentage of days with data recording in the observation period. We examined the patient’s trajectories of 3 disease indices (Rhinoconjunctivitis Total Symptom Score [RTSS], Combined Symptom and Medication Score [CSMS], and Visual Analogue Scale [VAS]) as putative proxies of data quality with the following 4 parameters: (1) intravariation index, (2) percentage of zero values, (3) coefficient of variation, and (4) percentage of changes in trend. Lastly, we examined the relationship between adherence to recording and each of the 4 proxy measures. Results: Adherence to recording ranged from 20% (11/56) to 100% (56/56), with 64.4% (65/101) and 35.6% (36/101) of the patients’ values above (highly adherent patients) or below (low adherent patients) the threshold of 80%, respectively. The percentage of zero values, the coefficient of variation, and the intravariation index did not significantly change with the adherence to recording. By contrast, the proportion of changes in trend was significantly higher among highly adherent patients, independently from the analyzed score (RTSS, CSMS, and VAS). Conclusions: The percentage of changes in the trend of RTSS, CSMS, and VAS is a valuable candidate to validate the quality and accuracy of the data recorded by patients with allergic rhinitis during the pollen season. The performance of this parameter must be further investigated in real-life conditions before it can be recommended for routine use in apps and electronic diaries devoted to the management of patients with allergic rhinitis