{"id":3844,"date":"2026-04-20T13:59:26","date_gmt":"2026-04-20T10:59:26","guid":{"rendered":"https:\/\/applyit.lv\/?p=3844"},"modified":"2026-05-08T14:03:46","modified_gmt":"2026-05-08T11:03:46","slug":"from-lab-to-life-we-are-presenting-progress-in-lung-cancer-diagnostics-rd-project","status":"publish","type":"post","link":"https:\/\/applyit.lv\/en\/from-lab-to-life-we-are-presenting-progress-in-lung-cancer-diagnostics-rd-project\/","title":{"rendered":"From Lab to Life: we are presenting progress in Lung Cancer Diagnostics R&D project"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” class=”sub_nav” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]Back<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” bottom_padding=”3%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” class=”jaunumi_Inner_block” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” el_class=”open_post_2col_text” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”small_desktop” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default” offset=”vc_col-lg-6 vc_col-md-6 vc_col-xs-12″][vc_column_text el_class=”post-date”]20.04.2026<\/em>[\/vc_column_text][vc_column_text el_class=”jaunumi_inner_text”]In the end of April, the University of Latvia (Latvijas Universitate<\/a>) hosted its 84th International Scientific Conference \u2013 a major event bringing together researchers, clinicians, and industry professionals. And we were also there.<\/p>\n

Andis Liepi\u0146\u0161, our Lead AI Architect, together with researcher L\u0101sma Bugovecka, presented the latest progress in our R&D lung cancer diagnostics project, as part of the session \u201cFrom Lab to Life: Industry-Driven Innovation\u201d. The project also involves pathologist Professor Sergejs Isajevs and Professor Don\u0101ts Erts (Director of the UL Institute of Chemical Physics) as key partners.<\/p>\n

\ud83c\udfaf We aim to develop an AI-based decision-support tool for lung cancer treatment, focused on predicting the effectiveness of immunotherapy and assisting clinicians in selecting the most suitable therapy.<\/p>\n

What makes this project unique? First, we\u2019re using atomic force microscopy (AFM), a method rarely used in medical diagnostics, to measure the physical properties of tumor cells: structure, density, viscoelasticity. Second, we had to develop a completely new tissue preparation method from scratch. It took more than 10 different approaches and several years to get it right.<\/p>\n

The project is structured in three phases, and we are currently in Phase III:<\/p>\n

Phase I \u2013 Early experiments and pilot study, testing whether AFM can be used on human lung biopsy samples. We developed and validated the tissue preparation approach.
\nPhase II \u2013 Refining the method. Improving measurement reliability, analyzing morphology and surface structure.
\nPhase III (current) \u2013 AI model training. Combining AFM data with clinical and histopathological information to further develop the research foundation for a future practical decision-support tool for oncologists.<\/p>\n

So far, the results are promising \u2013 adding biophysical features improved classification accuracy from 86.49% to 89.19% using a Bayesian Network model. We\u2019ve also already published scientific papers in two international journals. \ud83d\udcc8<\/p>\n

Most importantly, the project is moving from experimental research toward practical application. We\u2019re developing a tool that hopefully could one day help doctors make data-driven decisions and predict the effectiveness of immunotherapy. And ultimately reduce lung cancer\u2019s status as one of the deadliest and most difficult-to-treat diseases.<\/p>\n

This session, as well as the conference itself, was a great example of what can be achieved when scientists and industry partners collaborate closely, creating a real impact on innovation development.[\/vc_column_text][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” el_class=”open_post_2col_gallery” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”small_desktop” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default” offset=”vc_col-lg-6 vc_col-md-6 vc_col-xs-12″][vc_gallery type=”image_grid” images=”3845″ image_grid_loading=”default” layout=”2″ masonry_style=”true” bypass_image_cropping=”true” item_spacing=”10px” gallery_style=”5″ load_in_animation=”none”][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

At the University of Latvia\u2019s 84th International Scientific Conference, we showcased our unique approach\u2014combining Atomic Force Microscopy and AI to enhance precision in selecting immunotherapy<\/p>\n","protected":false},"author":5,"featured_media":3845,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[21],"tags":[],"class_list":{"0":"post-3844","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-jaunumi-eng"},"_links":{"self":[{"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/posts\/3844","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/comments?post=3844"}],"version-history":[{"count":1,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/posts\/3844\/revisions"}],"predecessor-version":[{"id":3847,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/posts\/3844\/revisions\/3847"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/media\/3845"}],"wp:attachment":[{"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/media?parent=3844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/categories?post=3844"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/applyit.lv\/en\/wp-json\/wp\/v2\/tags?post=3844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}