Gendered Innovation Alliance - Gender dimension for better Health

Autism increases mental disease risk. Few research have shown that autistic women are more susceptible than autistic males. Karolinska Institutet researchers performed a register-based cohort study of over 1.3 million Swedish adults aged 16–24 between 2001 and 2013. 20,000 had autism. By age 25, 77 of 100 autistic women got a psychiatric diagnosis, compared to 62 of 100 autistic males.

AI may help triage skin disorders and spot cancers. Most AI models have not been tested on diverse skin tones or rare disorders. The first publicly available, expertly managed, and pathologically confirmed photo dataset with varied skin tones is Varied Dermatology Images (DDI). The DDI dataset's dark skin tones and uncommon illnesses constrain current dermatological AI algorithms. Dermatologists categorize AI datasets poorly on photos of dark skin and unusual illnesses. Light and dark skin tones function similarly after DDI image AI model fine-tuning. These findings show derma-tology AI biases and inadequacies that must be addressed for appropriate applicability to varied persons and circumstances.

In recent years, scholarly interest and actual demonstration of how algorithms may give biased outcomes, especially regarding gender and race, have risen. In examining AI fairness and discrimination, the AI for social good conversation has neglected aging and elderly people. Digitalization and AI have ignored aging and this article aims to address this deficiency by highlighting many theoretical and empirical expressions of ageism in AI.

The Gender Summits and UN Women have shown that all UN Sustainable Development Goals (SDGs) goals must be gender-balanced to benefit women and men equally. Examining previous studies that openly used sex and gender topics revealed that attention to sex and gender subjects is unequal throughout the SDGs. Even when overlap is substantial, important thematic areas of significance to the SDG have no explicit link to sex and gender. This report offers the framework for an evidence-based pathway to integrate sex and gender across all SDGs and measure progress.

A KTH master's thesis, by Anubhuti Gupta, captures how biases exist and affect both the actors’ (patients and healthcare professionals (HCPs) behaviours and actions throughout the pain management journey thus leading to a down-streaming effect on the treatment delivered. Based on the findings, new concepts were designed. The thesis was supervised by Karolina Kublickiene.

Between 2018-2021 KI CLINTEC, department of Renal Medicine and DevReg participated in ACT with the mission to enhance gender expertise and implementation of gender equality plans in European research and innovation. During these years, various resources were produced: explainer videos, a Co-creation Toolkit compiling participatory methods, ACTonBias training, the GEAM Tool and much more. Check out the highlights!

Check out KI Grants Office’s web pages providing information on funders’ requirements relating to the sex-and-gender dimension, as well as resources to help you address it.

Two years in the making, it is the result of the work of 24 experts. Read about 15 new case studies - on Chronic Pain, Facial Recognition, Smart Mobility, Marine Science, Virtual Assistants etc and revised methods. Sex, gender, and intersectional analysis enhances all phases of research.

KI, CLINTEC, department of Renal Medicine and DevReg is participating in ACT with the mission to enhance gender expertise and implementation of gender equality plans in European research and innovation. Associated Professor Karolina Kublickiene is the PI from KI.