The 42nd edition of Arab Health Exhibition and Congress was officially opened on 30 January by his Highness Sheikh Hamdan Bin Rashid Al Maktoum, deputy ruler of Dubai, United Arab Emirates (UAE) minister of finance, and the president of the Dubai Health Authority.
His Highness Sheikh Hamdan Bin Rashid Al Maktoum.Arab Health 2017 will feature 4,400 exhibitors, an increase of over 400 companies over last year's meeting. More than 110,000 attendees from over 70 countries are expected to take part in the conference, which runs from 30 January to 2 February at the Dubai International Convention and Exhibition Center.
This year's event also includes the debut of new hands-on-training sessions, which allow physicians, surgeons, and technicians from the region to learn and practice new techniques using the latest equipment in areas such as cardiology, neurology, surgery, gastroenterology, urology, oncology, and radiology, according to the conference. In addition, the 3D Medical Printing Zone has returned after a successful debut at Arab Health 2016. It has been expanded to reflect the growing use of 3D printing technology in healthcare, and will include items such as 3D-printed bionic limbs and real-life models of 3D-printed organ models, according to Arab Health.
A total of 14 conferences -- including the Total Radiology Conference -- will also be held over the four days of the meeting.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=100&q=70&w=100)
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
