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AI Predicts Chronic Illness and Biological Age Through Facial Temperature Mapping

Recently, a study published in the journal "Cell Metabolism" revealed that researchers, using thermal imaging cameras and artificial intelligence technology, can detect various chronic diseases and assess an individual's physiological age by analyzing facial temperature. This innovative method offers new possibilities for early disease diagnosis and health monitoring.- The temperature of different areas on the face is associated with various chronic diseases, such as diabetes and hypertension.-

12.1k 2 days ago
AI Predicts Chronic Illness and Biological Age Through Facial Temperature Mapping

Models

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GPT-4.1 mini

Openai

GPT-4.1 mini

$2.8

Input tokens/M

$11.2

Output tokens/M

1k

Context Length

Claude Haiku 4.5

Anthropic

Claude Haiku 4.5

$7

Input tokens/M

$35

Output tokens/M

200

Context Length

Claude Sonnet 4.5

Anthropic

Claude Sonnet 4.5

$21

Input tokens/M

$105

Output tokens/M

200

Context Length

Grok Code Fast 1

Xai

Grok Code Fast 1

$1.4

Input tokens/M

$10.5

Output tokens/M

256

Context Length

Claude Opus 4.1

Anthropic

Claude Opus 4.1

$105

Input tokens/M

$525

Output tokens/M

200

Context Length

Pangu-AgentExpert-N1-0.0.2

Huawei

Pangu-AgentExpert-N1-0.0.2

-

Input tokens/M

-

Output tokens/M

32

Context Length

Pangu-AgentExpert-N2-0.0.2

Huawei

Pangu-AgentExpert-N2-0.0.2

-

Input tokens/M

-

Output tokens/M

32

Context Length

Claude Sonnet 4

Anthropic

Claude Sonnet 4

$21

Input tokens/M

$105

Output tokens/M

200

Context Length

Gemma 3 4B

Google

Gemma 3 4B

$0.14

Input tokens/M

$0.28

Output tokens/M

131

Context Length

Yi-34B-200K

01-ai

Yi-34B-200K

-

Input tokens/M

-

Output tokens/M

200

Context Length

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