A 3D scanner for transparent glass

Many practical tasks in industry, such as automatic inspection or robot vision, often require the scanning of three-dimensional shapes by use of non-contact techniques. However, few methods have been proposed to measure three-dimensional shapes of transparent objects because of the difficulty of dealing with transparency and specularity of the surface. This paper presents a 3D scanner for transparent glass objects based on Scanning From Heating (SFH), a new method that makes use of local surface heating and thermal imaging

The value of the multidisciplinary team in metastatic renal cell carcinoma: paving the way for precision medicine in toxicities management

The new landscape of treatments for metastatic clear cell renal carcinoma (mRCC) is constantly expanding, but it is associated with the emergence of novel toxicities, adding to up to those observed in the tyrosine-kinase inhibitor (TKI) era. Indeed, the introduction of immune checkpoint inhibitors (ICIs) alone or in combination has been associated with the development of immune-related adverse events (irAEs) involving multiple-organ systems which, even if rarely, had led to fatal outcomes. Moreover, due to the relatively recent addition of ICIs to the previously available treatments, the potential additive adverse effects of these combinations are still unknown. A prompt recognition and management of these toxicities currently represents a fundamental issue in oncology, since it correlates with the outcome of cancer patients. Even if clinical guidelines provide indications for the management of irAEs, no specific protocol to evaluate the individual risk of developing an adverse event during therapy is currently available. A multidisciplinary approach addressing appropriate interventions aimed at reducing the risk of any insidious, severe, and/or dose-limiting toxicity might represent the most efficacious strategy to timely prevent and manage severe irAEs, allowing indirectly to improve both patients' cancer-specific survival and quality of life. In this review, we reported a five-case series of toxicity events that occurred at our center during treatment for mRCC followed by the remarks of physicians from different specialties, pinpointing the relevant role of an integrated and extended multidisciplinary team in a modern model of mRCC patient management

Image-guided ToF depth upsampling: a survey

Recently, there has been remarkable growth of interest in the development and applications of time-of-flight (ToF) depth cameras. Despite the permanent improvement of their characteristics, the practical applicability of ToF cameras is still limited by low resolution and quality of depth measurements. This has motivated many researchers to combine ToF cameras with other sensors in order to enhance and upsample depth images. In this paper, we review the approaches that couple ToF depth images with high-resolution optical images. Other classes of upsampling methods are also briefly discussed. Finally, we provide an overview of performance evaluation tests presented in the related studies

Eptinezumab for the Prevention of Migraine: Clinical Utility, Patient Preferences and Selection – A Narrative Review

Claudia Altamura,1,2 Nicoletta Brunelli,1,2 Marilena Marcosano,1,2 Alessandro Alesina,1,2 Luisa Fofi,1,2 Fabrizio Vernieri1,2 1Fondazione Policlinico Universitario Campus Bio-Medico, Roma, 00128, Italy; 2Unit of Headache and Neurosonology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, ItalyCorrespondence: Claudia Altamura, Unit of Headache and Neurosonology, Department of Medicine and Surgery, Fondazione Policlinico Campus Bio-Medico, Via Alvaro del Portillo, 200, Roma, 00128, Italy, Tel +3906225411270, Fax +3906225411936, Email [email protected]: The new Calcitonin Gene-Related Peptide (CGRP)-targeted therapies have proven high efficacy and tolerability in episodic and chronic migraine. Eptinezumab is a humanized monoclonal antibody that selectively binds CGRP with high affinity. Eptinezumab was approved by the Food and Drug Administration on February 21st, 2020, for the preventive treatment of migraine in adults. It is administered intravenously over 30 minutes with a standard dose of 100 mg and has a T-max of 30 minutes-1 hour and a half-life of 27 days. These pharmacological properties allow for a very rapid onset of effect and a quarterly administration. It is the first time that a preventive treatment for migraine can be offered as an intravenous administration. As the range of therapeutic possibilities in migraine is expanding, the treatment process must include common decision-making, where physicians should explain in detail to patients the different characteristics of treatment options beyond efficacy and side effects. Patients can now express a preference on a range of opportunities: pharmacological versus non-pharmacological approaches, route of administration, frequency of administration, efficacy, rapidity, side effects, costs, the possibility of titration or dosing, and durability of effectiveness at suspension. Also, patient preferences can be influenced by age, country, migraine severity, and earlier experience with CGRP-targeted therapies. Besides, adherence may be influenced by several factors, including route and the schedule of administration. This narrative review describes a new perspective from the patient’s point of view. Clinicians should ally with patients to select treatments that meet each patient’s needs and thus apply a tailored approach, addressing not only headaches. In this way, physicians would care for the patients globally and stand out their preferences on different aspects of treatment. Besides, healthcare professionals shall be aware that patients’ beliefs about therapies are subject to change with increasing experience with new therapeutic approaches.Keywords: eptinezumab, CGRP, preference, adherenc

YOLO-based Multi-Modal Analysis of Vineyards using RGB-D Detections

Agricultural robotics is a rapidly growing research area due to the need for new practices that are more environmentally responsible. It involves a range of technologies including autonomous vehicles, drones and robotic arms. These systems can be equipped with sensors and cameras to gather data and perform tasks autonomously or with minimal human intervention. For robot navigation and manipulation, and plant monitoring and analysis, perception is of prime importance and is still a challenging task today. For instance, visual perception using color images only for disease detection in vineyards, such as Mildew in which the symptoms manifest as small spots on or beneath the leaves, is still a hard task that does not allow to achieve high detection accuracy. To extract more representative features to improve the detection accuracy, other modalities must be used in addition to the Red Green and Blue (RGB) information of color images. In this paper, we present first a multimodal acquisition system that we have developed. It is composed of a multi-spectral (MS) camera and an RGB-D camera that are mounted on a mobile robot for data acquisition in a vineyard. Next, we describe the multi-modal dataset that we have built based on the data acquired with our system in a commercial vineyard. Finally, we implemented an Early RGB and depth data fusion technique together with the YOLOv5m Deep Learning network to detect the main parts of the vine: leaves, branches, and grapes using our dataset. The results that we have obtained, compared to those obtained using RGB images only with the YOLOv5m architecture, demonstrate the benefits of adding multi data fusion techniques to the object detection pipeline. These results are encouraging and show that multi-sensor data fusion is a technique that is worth considering as it can be useful for improving grapevine disease recognition technologies