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Research Results: Machine-learning and JIA<\/b>\u00a0<\/h1>\n[et_pb_section bb_built=”1″ admin_label=”section” fullwidth=”on” next_background_color=”#000000″ global_module=”322″][et_pb_fullwidth_menu global_parent=”322″ menu_id=”7″ background_color=”#28a0d8″ submenu_direction=”downwards” fullwidth_menu=”off” background_layout=”dark” text_orientation=”left” dropdown_menu_animation=”fade” active_link_color=”#ffffff” menu_font=”Open Sans Light||||” mobile_menu_text_color=”#000000″ module_class=”main-navigation” \/][\/et_pb_section][et_pb_section bb_built=”1″ fullwidth=”off” specialty=”on” prev_background_color=”#000000″ next_background_color=”#1d1d1d”][et_pb_column type=”2_3″ specialty_columns=”2″][et_pb_row_inner locked=”off”][et_pb_column_inner type=”4_4″ saved_specialty_column_type=”2_3″][et_pb_post_title _builder_version=”3.0.106″ title=”on” meta=”on” author=”on” date=”on” categories=”on” comments=”on” featured_image=”on” featured_placement=”above” text_color=”dark” text_background=”off” locked=”on” parent_locked=”off” \/][et_pb_text _builder_version=”3.17.6″ background_layout=”light” parent_locked=”off”]<\/p>\n
Research Results: Machine-learning and JIA<\/b>\u00a0<\/h1>\nDr Stephanie Shoop-Worrall discusses her latest research from the CLUSTER consortium (which includes data from the UK JIA Biologics Register). This research looks at how Artificial Intelligence (AI) can help determine which treatment will work best for children and young people with JIA.\u00a0\u00a0<\/p>\n
Methotrexate (MTX) is a common first-choice treatment for young people with juvenile idiopathic arthritis (JIA). However, it only works well for about half of them.\u00a0\u00a0<\/p>\n
To improve treatment decisions, researchers in CLUSTER used artificial intelligence (AI) to find groups of young people who experienced different patterns in their disease and its impact after taking MTX. They also wanted to see how these AI-based patterns compared to traditional ways of measuring treatment \u2018success\u2019.\u00a0<\/p>\n
The researchers studied children and young people who started MTX before 2018 using data from multiple hospitals in the UK. They tracked key disease impacts over a year: joint swelling, how well the doctor thought the young person was, and wellbeing of the young person and a blood marker of inflammation . They used AI to group patients into six response types, based on how their condition and its impact changed over time.\u00a0<\/p>\n
The six response types were: Fast Improvers (key impacts all got better six months after starting MTX), Slow Improvers (key impacts took a year to get better), Improve-Relapse (some improvement then worsening), Persistent Disease (little to no improvement), Persistent Doctor Concern (young person felt better, but doctors still thought the disease could be better controlled), and Persistent Parent Concern (doctor thought disease looked well controlled, young person still had issues like pain and issues doing everyday tasks).\u00a0\u00a0<\/p>\n
This AI-based approach shows that the standard way of judging treatment success (a simple yes\/no measure) is too limited. Instead, recognizing distinct response patterns could help doctors personalize treatment plans for children with JIA. This would make sure each young person gets the best possible care, tailored to which part of their disease and its impact are causing issues.\u00a0<\/p>\n
Should you wish to read this scientific paper in full, the text can be found online here: https:\/\/pubmed.ncbi.nlm.nih.gov\/38194741\/<\/a>\u00a0<\/p>\n [\/et_pb_text][et_pb_post_nav _builder_version=”3.0.106″ in_same_term=”off” show_prev=”on” show_next=”on” prev_text=”Previous” next_text=”Next” locked=”on” parent_locked=”off” \/][et_pb_comments _builder_version=”3.0.106″ show_avatar=”on” show_reply=”on” show_count=”on” background_layout=”light” header_font_size_tablet=”51″ header_line_height_tablet=”2″ custom_button=”on” button_icon_placement=”right” button_text_color=”#ffffff” button_use_icon=”off” locked=”on” parent_locked=”off” button_text_size__hover_enabled=”off” button_text_size__hover=”null” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_text_color__hover_enabled=”off” button_text_color__hover=”null” button_one_text_color__hover_enabled=”off” button_one_text_color__hover=”null” button_two_text_color__hover_enabled=”off” button_two_text_color__hover=”null” button_border_width__hover_enabled=”off” button_border_width__hover=”null” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_border_color__hover_enabled=”off” button_border_color__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_border_radius__hover_enabled=”off” button_border_radius__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_letter_spacing__hover_enabled=”off” button_letter_spacing__hover=”null” button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_bg_color__hover_enabled=”off” button_bg_color__hover=”null” button_one_bg_color__hover_enabled=”off” button_one_bg_color__hover=”null” button_two_bg_color__hover_enabled=”off” button_two_bg_color__hover=”null” \/][et_pb_text admin_label=”Related posts” _builder_version=”3.0.106″ background_layout=”light” locked=”on” parent_locked=”off”]<\/p>\nRelated<\/h1>\n
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