Radiation therapy in combination with other treatments, such as chemotherapy, increases loco-regional control and survival in patients with lung cancer. Nevertheless, the subsequent toxicity of this treatment occurs in up to 37% of the irradiated patients. Some factors related to the patient, including performance status, pulmonary function tests (FEV1, DCLO), tumour site, as well as treatment-related factors such as radiation dose, fractionation and addition of chemotherapy, can be related to the risk of pulmonary toxicity. With the advent of tridimensional conformal radiotherapy (3DCRT), dose-volume histograms can be generated to assess the dose received by the organs at risk. Volume dose (Vdose), mean lung dose (MLD) and normal tissue complication probability (NTCP) are the dosimetric parameters most frequently used. The possible relationship between these parameters and clinical and anatomical factors has to be considered. Steroid treatment should be started soon in case of pneumonitis to avoid the development of late pulmonary fibrosis. Finally, some pharmacological agents to prevent radiation-related pneumonitis are under investigation.

Radiation therapy in combination with other treatments, such as surgery and chemotherapy, increases locoregional control and survival in patients with thoracic, abdominal and pelvic malignancies. Nevertheless, significant clinical toxicity with combined treatments may be seen in these patients. With the advent of tridimensional conformal radiotherapy (3D-CRT), dose-volume histograms (DVH) can be generated to assess the dose received by the organs at risk. The possible relationship between these parameters and clinical, anatomical and, more recently, genetic factors has to be considered. Treatment options include initial conservative medical therapies, endoscopic procedures, hyperbaric oxygen and surgery. Some pharmacological agents to prevent gastrointestinal toxicity are under investigation.

Patients with N2/N3 disease who obtained a clinical and radiological CR to chemoradiation had a zero incidence of isolated neck failure without a planned ND. The continued use of planned NDs in this patient subset may not be justified. This can be further confirmed in randomised prospective trials.

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Good health and functional ability are important for individuals to lead fulfilling mental, psychological, and social lives. The diseases such as Dementia causes irreversible damage, decline in cognition, function, and behavior which translates into difficulty in independently performing daily tasks. Studies showed that assessment of Instrumental activities of daily living(IADLs) correlate with humans' cognitive and functional status. Analysis of biomechanical markers such as hand movement/use was done with artificial intelligence(AI). We present an optimized AI algorithm for hand detection in the analysis of egocentric video recordings. This improved AI algorithm is based on a probabilistic approach where hand regions are detected in egocentric videos. They then feed the human functional pattern recognition process. To evaluate the performance of our proposal we use a dataset containing the four functional patterns organized into four classes, based on the prehensile patterns of the hands: strength-precision, and on the kinematics of the instruments: displacementhandling. This work was inspired by a previous work done by our group, where biomechanical markers were analyzed throughout the performance of IADL activities to recognize the human functional pattern. The result of our proposal yielded an accuracy of 87.5% in recognizing strength-precision and displacement-handling movement patterns when evaluating the test database with information from Segmented and Not-Segmented videos. This resulted in a single video that changed its classification ratio between the two subsets. This can be of great potential in the development of technological tools for the creation of an automated model to support the diagnosis of early Alzheimer's disease.