The novel SSTR3 full agonist ITF2984 shows antitumor properties against pancreatic neuroendocrine tumors (Pan-NETs).

Background: Somatostatin analogs (SSAs) binding to and activating somatostatin receptors (SSTRs) have been extensively used for the treatment of neuroendocrine tumors (NETs). The currently approved synthetic SSAs have high affinity for SSTR2 (octreotide/lanreotide), or for SSTR2 and SSTR5 (pasireotide). These agents have shown symptoms control and antiproliferative effects in subsets of NET patients and this was associated to the expression of the targeted SSTRs.

Inclusivity is child's play: pilot study on usability, acceptability and user experience of a sensory-motor PC game for children with cerebral palsy (GiocAbile).

Background: The use of video games in rehabilitation settings is gaining increasing popularity. However, the lack of commercial video games suitable for children with disabilities and the disappointing user experience of serious games limit their applicability. The aim of this study was to assess the usability, acceptability and user experience of GiocAbile, an active video game for children with cerebral palsy (CP).

The wide world of technological telerehabilitation for pediatric neurologic and neurodevelopmental disorders - a systematic review.

Introduction: The use of Information and Communication Technology (ICT) for assessing and treating cognitive and motor disorders is promoting home-based telerehabilitation. This approach involves ongoing monitoring within a motivating context to help patients generalize their skills. It can also reduce healthcare costs and geographic barriers by minimizing hospitalization.

IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems.

Distribution drift is an important issue for practical applications of machine learning (ML). In particular, in streaming ML, the data distribution may change over time, yielding the problem of concept drift, which affects the performance of learners trained with outdated data. In this article, we focus on supervised problems in an online nonstationary setting, introducing a novel learner-agnostic algorithm for drift adaptation, namely importance weighting for drift adaptation (IWDA), with the goal of performing efficient retraining of the learner when drift is detected.

Design of a sensor network for the quantitative analysis of sport climbing.

We describe the design of a modular sensorized climbing wall for motion analysis in a naturalistic environment. The wall is equipped with force sensors to measure interaction forces between the athlete and the wall, which can be used by experienced instructors, athletes, or therapists, to gain insights into the quality of motion. A specifically designed triaxial load cell is integrated into each hold placement, invisible to the climber, and compatible with standard climbing holds.