4 citations
,
October 2017 in “Journal of Mind and Medical Sciences” The brain may create four separate minds, each with its own mental reality.
9 citations
,
July 2001 in “Cell” Cells from certain embryo parts can induce head formation in another embryo, involving complex signaling pathways.
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
6 citations
,
April 2010 in “Cellular Reprogramming” Pig skin cells can turn into mesodermal cells but lose their ability to become neural cells.
September 2021 in “Physiology News” The document could not be read or understood.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
3 citations
,
July 2017 in “Journal of Investigative Dermatology” SSEA-4 can distinguish between eccrine and apocrine sweat gland ducts.
November 2023 in “The journal of investigative dermatology/Journal of investigative dermatology” The article concludes that creating a detailed map of normal human skin at the single-cell level is important.
20 citations
,
August 2017 in “Drug testing and analysis” Drugs localize differently in hair strands based on their properties.
December 2005 in “Science s STKE” Localized ROS production is essential for cell growth and movement in plants and animals.
April 2023 in “Journal of Investigative Dermatology” The research updated the skin cell profile, finding new skin cell markers and showing fibroblasts' key role in skin health.
August 2025 in “Stem Cells” A systems biology approach helps improve mesenchymal stromal cell therapies by mapping interactions and identifying treatment targets.
1 citations
,
September 2025 in “Journal of Ultrasound in Medicine” AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
10 citations
,
May 2025 in “Cell Biomaterials” New technologies help us understand how the body reacts to medical implants, which can improve implant performance.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
2 citations
,
November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
January 2019 in “Florida International University Digital Commons (Florida International University)” TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
May 2023 in “Elsevier eBooks” The document's conclusion cannot be provided because the document is not readable or understandable.
3 citations
,
September 2023 in “PeerJ Computer Science” A new method accurately measures college students' mental health by considering time perception and clustering techniques.
13 citations
,
February 2009 in “Pest management science” Reactive oxygen species are key for parasitic plant attachment and affect root development in various plants.
8 citations
,
March 2017 in “Journal of Mind and Medical Sciences” Human sexuality involves complex mental processes unique to humans.
January 2025 in “International Journal of Dermatology” Better diagnostic tools and treatment guidelines are needed for segmental vitiligo and related pigment issues.
January 1995 in “Expert Systems with Applications”
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
May 2024 in “International journal of medicine and psychology.” Ganser syndrome may result from both organic and psychogenic factors.
April 2023 in “Journal of Investigative Dermatology” Human TMEM2 does not break down hyaluronan but helps control its metabolism.
July 2024 in “Journal of Investigative Dermatology” October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
May 2026 in “International Journal of Technology in Education and Science” The AI system accurately classifies hair loss types and explains its decisions.