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1 gated training to reduce implicit racial and gender bias.
2 t both eyes, and does not demonstrate a male gender bias.
3 c leukemia (CLL), which also displays a male gender bias.
4 ive disease with a rapidly increasing female gender bias.
5 d one woman introduced orthogonal sources of gender bias.
6 duced demyelinating disease, also displays a gender bias.
7 ial recognition of respiratory symptoms or a gender bias.
8 , newer studies suggest an absence of such a gender bias.
9 finding a female advantage and a female own-gender bias.
10 se challenges in the analysis of age-related gender bias(7-9), for which age provides an objective an
12 ings suggest that patients harbored negative gender biases about the interpersonal manner of female p
13 timeliness of promotions, manifestations of gender bias, access to information needed for faculty de
15 l and could be explained by a combination of gender bias and by women's concerns with being held to h
16 ntify five myths that continue to perpetuate gender bias and five strategies for improving not only t
19 velopment of women is needed to mitigate the gender biases and barriers faced by aspiring women leade
20 nt diversity and inclusion programs in STEM, gender biases and stereotypes persist across educational
21 lations, diagnostic delays linked to age and gender biases, and limited access to age-appropriate sup
24 e of images online significantly exacerbates gender bias, both in its statistical prevalence and its
26 ne manifestations at a low incidence without gender bias, but does not in itself generate the full sp
29 emonstrate that there is still a significant gender bias, especially at higher career levels, in many
31 Women who reported experiencing negative gender bias had similar productivity but lower career sa
34 ehaviours and access to care, as well as how gender-biased health research and health-care systems re
35 st that the compound influence of racial and gender biases hinders the advancement of minority female
36 revalent in organizations: (i) intrapersonal gender biases, (ii) interpersonal power dynamics, and (i
37 ts read an actual journal abstract reporting gender bias in a STEM context (or an altered abstract re
40 nspection of and addressing disadvantage and gender bias in both the medical and lay communities shou
41 highlighting a few of the issues surrounding gender bias in cancer research, as well as science more
44 context (or an altered abstract reporting no gender bias in experiment 3) and evaluated the overall q
45 sly unreported and statistically significant gender bias in favor of males (p = 0.0016), but none of
51 s remain, partly as a result of the historic gender bias in mental health research, and the neglect o
55 makers could reduce violence by eliminating gender bias in ownership rights and addressing norms tha
56 images of occupations amplifies age-related gender bias in participants' beliefs and hiring preferen
60 h 61 %) and more often reported experiencing gender bias in professional advancement (72% compared wi
61 r-equitable; fill gaps in data and eliminate gender bias in research; fund civil-society actors and s
68 To the extent that research illustrating gender bias in STEM is viewed as convincing, the culture
71 , as many neuropsychiatric disorders exhibit gender bias in the frequency, severity, or response to t
74 s, we can gain crucial insights into sex and gender biases in disorders including post-traumatic stre
80 males from females: viewing the gait of one gender biased judgments of subsequent gaits toward the o
81 d raises questions about the extent to which gender bias may contribute to women's underrepresentatio
84 s of each LLM under biased prompts by adding gender-biased messages to prompts constructed from these
85 uggest that interventions addressing faculty gender bias might advance the goal of increasing the par
88 neral competencies did not demonstrate major gender bias on a national level at the time of graduatio
89 eories and methodologies through the lens of gender biases, paving the way for more inclusive and acc
90 algorithmic outputs guided the formation of gender-biased prototypes and influenced hiring decisions
92 oss experiments showed that men evaluate the gender-bias research less favorably than women, and, of
94 iewed the film indicated higher awareness of gender bias, stronger intentions to address this bias, a
95 rutinizes the enduring effects of racial and gender biases that contribute to the consistent underrep
96 fficacy of interventions outside of reducing gender bias through double-blind review or diversifying