Effect of Physiotherapy on Preterm Neonates and its Results on Five-Year-Old Children, According to GMFM - GMPM Evaluation Scales.

Objective: The purpose of this study is to emphasize the necessity and possibilities of early intervention and physiotherapy rehabilitation of premature infants, as they are reflected in five-year olds according to the gross motor function measure (GMFM) and gross motor performance measure (GMPM) evaluation scales for gross function and quality of movement. In addition, the present study examined the importance of using assessment tools for children who have received or not therapeutic intervention, through which both the child's abilities and appropriateness of the help received by him/her are evaluated based on individual needs.

Material And Methods: Our specific exploratory process was carried out through a literature review as well as a process of primary research, in order to obtain and collect all necessary information and data which would finally lead us to the nearest and best conclusions.

A radiomic- and dosiomic-based machine learning regression model for pretreatment planning in Lu-DOTATATE therapy.

Background: Standardized patient-specific pretreatment dosimetry planning is mandatory in the modern era of nuclear molecular radiotherapy, which may eventually lead to improvements in the final therapeutic outcome. Only a comprehensive definition of a dosage therapeutic window encompassing the range of absorbed doses, that is, helpful without being detrimental can lead to therapy individualization and improved outcomes. As a result, setting absorbed dose safety limits for organs at risk (OARs) requires knowledge of the absorbed dose-effect relationship.

A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques.

A methodology is introduced for the development of an internal dosimetry prediction toolkit for nuclear medical pediatric applications. The proposed study exploits Artificial Intelligence techniques using Monte Carlo simulations as ground truth for accurate prediction of absorbed doses per organ prior to the imaging acquisition considering only personalized anatomical characteristics of any new pediatric patient.GATE Monte Carlo simulations were performed using a population of computational pediatric models to calculate the specific absorbed dose rates (SADRs) in several organs.

HPC+ in the medical field: Overview and current examples.

Background: To say data is revolutionising the medical sector would be a vast understatement. The amount of medical data available today is unprecedented and has the potential to enable to date unseen forms of healthcare. To process this huge amount of data, an equally huge amount of computing power is required, which cannot be provided by regular desktop computers.

The Involvement of Past Traumatic Life Events in the Development of Postpartum PTSD after Cesarean Delivery.

Background: Although childbirth is considered a natural process, a high percentage of postpartum women consider it traumatic. Any previous traumatic event in a woman's life can be revived through a traumatic birth experience, especially after a complicated vaginal delivery or cesarean delivery. The purpose of this study was to clarify the relationship between previous traumatic life events and posttraumatic stress disorder (PTSD) in postpartum women after cesarean section and which specific events exerted the greatest influence.