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life
shēng huó
生活
·HSK 2

new type / novel
xīnxíng
新型
stool / feces
fènbiàn
粪便
test / screening
jiǎncè
检测
can / is able to
to detect / to find
fāxiàn
发现
ninety percent / nine out of ten
jiǔ chéng
九成
colorectal cancer
dàcháng ái
大肠癌

Switzerland
Ruìshì
瑞士
University of Geneva
Rì nèi wǎ Dàxué
日内瓦大学
structural particle
de
scientist
kēxuéjiā
科学家
has developed / created
kāifā le
开发了
a kind of / a type of
yī zhǒng
一种
new
xīn de
新的
stool
fènbiàn
粪便
test / screening
jiǎncè
检测
method
fāngfǎ
方法
can / is able to
kěyǐ
可以
to detect
fāxiàn
发现
ninety percent / 90%
bǎifēnzhī jiǔshí
90%
structural particle
de
colorectal cancer
dàcháng ái
大肠癌
patient / person with the disease
huànzhě
患者
does not require / without needing
bù xūyào
不需要
to do / to undergo
zuò
colonoscopy
chángjìng
肠镜
examination
jiǎnchá
检查

April 14, 2026 at 10:30 PM

Switzerland
Ruìshì
瑞士
University of Geneva
Rì nèi wǎ Dàxué
日内瓦大学
structural particle
de
scientists
kēxuéjiā
科学家
have developed / created
kāifā le
开发了
a type of
yī zhǒng
一种
new
xīn de
新的
stool
fènbiàn
粪便
test / screening
jiǎncè
检测
method
fāngfǎ
方法
this type of
zhè zhǒng
这种
method
fāngfǎ
方法
can / is able to
kěyǐ
可以
to detect / to identify
fāxiàn
发现
ninety percent / 90%
bǎifēnzhī jiǔshí
90%
structural particle
de
colorectal cancer
dàcháng ái
大肠癌
patients
huànzhě
患者
effectiveness / result
xiàoguǒ
效果
close to / approaching
jiējìn
接近
colonoscopy
chángjìng
肠镜
examination
jiǎnchá
检查
researchers
yánjiū rényuán
研究人员
using / by means of
yòng
artificial intelligence
réngōng zhìnéng
人工智能
analyzed
fēnxī le
分析了
stool
fènbiàn
粪便
in / within
zhōng
structural particle
de
intestinal / gut
chángdào
肠道
bacteria
xìjūn
细菌
they / the researchers
tāmen
他们
found / discovered
fāxiàn
发现
colorectal cancer
dàcháng ái
大肠癌
patients
huànzhě
患者
structural particle
de
gut / intestinal
chángdào
肠道
bacteria
xìjūn
细菌
and
healthy people
jiànkāng rén
健康人
have / there are
yǒu
clear / obvious
míngxiǎn
明显
differences / different
bùtóng
不同
this type of
zhè zhǒng
这种
test
jiǎncè
检测
does not require / without needing
bù xūyào
不需要
to undergo / to have
zuò
colonoscopy
chángjìng
肠镜
patient
bìngrén
病人
at
zài
home
jiā
can simply / right there
jiù
can
kěyǐ
可以
to complete
wánchéng
完成
sample
yàngběn
样本
collection / gathering
cǎijí
采集
scientists
kēxuéjiā
科学家
say / said
shuō
early stage / early detection
zǎoqī
早期
to detect / to find
fāxiàn
发现
colorectal cancer
dàcháng ái
大肠癌
to cure / to recover from
zhìyù
治愈
structural particle
de
chance / possibility
jīhuì
机会
much greater / significantly higher
gèng dà
更大

New Words

Ruìshì
瑞士
Switzerland
kēxuéjiā
科学家
scientist
fènbiàn
粪便
stool
jiǎncè
检测
test/screening
dàcháng ái
大肠癌
colorectal cancer
chángjìng
肠镜
colonoscopy
réngōng zhìnéng
人工智能
artificial intelligence
xìjūn
细菌
bacteria
huànzhě
患者
patient

News in English

Lifestyle & Culture

New Stool Test Detects Ninety Percent of Colorectal Cancers Without Colonoscopy

Scientists at the University of Geneva have developed a new stool test that can detect ninety percent of colorectal cancers using AI to analyze gut bacteria, without the need for a colonoscopy.

Scientists at the University of Geneva in Switzerland have developed an innovative stool-based screening method for detecting colorectal cancer. This novel approach can identify 90 percent of colorectal cancer patients with effectiveness approaching that of colonoscopy examinations, offering a less invasive alternative to traditional diagnostic procedures.

Researchers employed artificial intelligence to analyze gut bacteria present in stool samples. They discovered that colorectal cancer patients' intestinal bacteria differ markedly from those of healthy individuals. Notably, this screening method eliminates the need for colonoscopy procedures; patients can simply complete sample collection at home without requiring invasive examination.

Scientists emphasize that early detection of colorectal cancer significantly improves treatment outcomes and cure rates. The new test represents an important breakthrough in accessible cancer screening, providing patients with a convenient, non-invasive option that maintains diagnostic accuracy while improving patient comfort and accessibility.

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