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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Shin JofPathInformatics2017 8.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Tomich Sustain23 15-8.png|260px]]</div>
'''"[[Journal:PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data|PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data]]"'''
'''"[[Journal:Why do we need food systems informatics? Introduction to this special collection on smart and connected regional food systems|Why do we need food systems informatics? Introduction to this special collection on smart and connected regional food systems]]"'''


Visual heuristics of pathology diagnosis is a largely unexplored area where reported studies only provided a qualitative insight into the subject. Uncovering and quantifying pathology visual and non-visual diagnostic patterns have great potential to improve clinical outcomes and avoid diagnostic pitfalls.
Public interest in where food comes from and how it is produced, processed, and distributed has increased over the last few decades, with even greater focus emerging during the [[COVID-19]] [[pandemic]]. Mounting evidence and experience point to disturbing weaknesses in our food systems’ abilities to support human livelihoods and wellbeing, and alarming long-term trends regarding both the environmental footprint of food systems and mounting vulnerabilities to shocks and stressors. How can we tackle the “wicked problems” embedded in a food system? More specifically, how can convergent research programs be designed and resulting knowledge implemented to increase inclusion, sustainability, and resilience within these complex systems ... ('''[[Journal:Why do we need food systems informatics? Introduction to this special collection on smart and connected regional food systems|Full article...]]''')<br />
 
''Recently featured'':
Here, we present PathEdEx, an [[informatics]] computational framework that incorporates whole-slide digital pathology imaging with multiscale gaze-tracking technology to create web-based interactive pathology educational atlases and to datamine visual and non-visual diagnostic heuristics.
{{flowlist |
 
* [[Journal:Data management challenges for artificial intelligence in plant and agricultural research|Data management challenges for artificial intelligence in plant and agricultural research]]
We demonstrate the capabilities of PathEdEx for mining visual and non-visual diagnostic heuristics using the first PathEdEx volume of a [[Clinical pathology#Sub-specialties|hematopathology]] atlas. We conducted a quantitative study on the time dynamics of zooming and panning operations utilized by experts and novices to come to the correct diagnosis. ('''[[Journal:PathEdEx – Uncovering high-explanatory visual diagnostics heuristics using digital pathology and multiscale gaze data|Full article...]]''')<br />
* [[Journal:A blockchain-driven IoT-based food quality traceability system for dairy products using a deep learning model|A blockchain-driven IoT-based food quality traceability system for dairy products using a deep learning model]]
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* [[Journal:Effect of good clinical laboratory practices (GCLP) quality training on knowledge, attitude, and practice among laboratory professionals: Quasi-experimental study|Effect of good clinical laboratory practices (GCLP) quality training on knowledge, attitude, and practice among laboratory professionals: Quasi-experimental study]]
''Recently featured'':  
}}
: ▪ [[Journal:Electronic lab notebooks: Can they replace paper|Electronic lab notebooks: Can they replace paper?]]
: ▪ [[Journal:Earth science data analytics: Definitions, techniques and skills|Earth science data analytics: Definitions, techniques and skills]]
: ▪ [[Journal:Bioinformatics: Indispensable, yet hidden in plain sight|Bioinformatics: Indispensable, yet hidden in plain sight]]

Revision as of 17:11, 22 April 2024

Fig1 Tomich Sustain23 15-8.png

"Why do we need food systems informatics? Introduction to this special collection on smart and connected regional food systems"

Public interest in where food comes from and how it is produced, processed, and distributed has increased over the last few decades, with even greater focus emerging during the COVID-19 pandemic. Mounting evidence and experience point to disturbing weaknesses in our food systems’ abilities to support human livelihoods and wellbeing, and alarming long-term trends regarding both the environmental footprint of food systems and mounting vulnerabilities to shocks and stressors. How can we tackle the “wicked problems” embedded in a food system? More specifically, how can convergent research programs be designed and resulting knowledge implemented to increase inclusion, sustainability, and resilience within these complex systems ... (Full article...)
Recently featured:

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