top of page

By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Tibetan refugees protest in Mumbai

Supporters from the Tibetan Youth Congress react during a protest at Azad Maidan in Mumbai on Monday against China's new ethnic unity law. Pic: Bhushan Koyande Mumbai: Over 250 Tibetan refugees, activists and members of the Friends of Tibet took out a rally and demonstrated near the Chinese Consulate in Mumbai as part of an international action to protest against China’s new Ethnic Unity and Progress Promotion Law (EUPPL). The Tibetans living in Mumbai were joined by other protestors from...

Tibetan refugees protest in Mumbai

Supporters from the Tibetan Youth Congress react during a protest at Azad Maidan in Mumbai on Monday against China's new ethnic unity law. Pic: Bhushan Koyande Mumbai: Over 250 Tibetan refugees, activists and members of the Friends of Tibet took out a rally and demonstrated near the Chinese Consulate in Mumbai as part of an international action to protest against China’s new Ethnic Unity and Progress Promotion Law (EUPPL). The Tibetans living in Mumbai were joined by other protestors from Bhandara (Maharashtra) and Mundgod (Karnataka) and a relay hunger strike was also taken up the Tibetan Youth Congress (TYC) in Dharamshala, Himachal Pradesh, said Coordinator, Tenzin Tsundue. The day started with a silent rally from Rajgriha, the home of the late Dr. B. R. Ambedkar to his memorial, Chaityabhoomi, both in Dadar. Another rally-cum-demonstration was carried out near Nariman Point where the Chinese Consulate is located and at the Azad Maidan, said Tsundue. “We carried out a peaceful protest at Nariman Point and wanted to go and submit a memorandum to the Chinese Consul-General. However, the police prevented us, detained a few Tibetans and sent them back to Azad Maidan,” Tsundue told ‘The Perfect Voice’, from the venue. He said that Tibetans and others like Uyghurs are strongly opposed to the new law which came into effect last week, despite criticism from the United Nations Organisation (UNO), Taiwan, TYC and human rights groups worldwide. Their prime concerns are that the (EUPPL) could place further restrictions on the minorities’ rights, deepen assimilation policies targeting the ethnic groups and dilute the protection to their respective languages, cultures and traditions. China’s Denial One provision is said to allow individuals to be held accountable for alleged violations of the Chinese laws even outside the country, raising apprehensions it could target the government’s critics or campaigners abroad. However, China has rubbished all allegations of rights abuses against the ethnic minority group, and reiterated that its policies aim to promote social stability, security and economic development for all. Unconvinced, Tibetans and Uyghurs have urged the international community to build pressure on China to strike down the EUPPL as “it aims to erase the minority communities”. The Mainland Affairs Council of Taiwan has argued that Taiwanese are already facing high risks travelling to China and now the country has “yet another law to fabricate charges”, and it could deploy it “to further suppress and prosecute human rights activists”. TYC slams China The TYC said that the international action today was dedicated to the memory of the supreme sacrifice of Lobga Rangzen who self-immolated himself outside the UN Headquarters in New York on July 2 to draw the world’s attention to the cause of Tibet. Rejecting the new law, the TYC said: “This legislation is not a law of unity but a political instrument to force assimilation of nations living under Chinese occupation, like Tibet, East Turkestan, Southern Mongolia, and Manchuria. Behind the language of ‘ethnic unity’ lies an agenda of Unilateral control by institutionalising policies aimed at assimilating Tibetans through political domination.” It accused China of attempts “to erase national identities by suppressing distinct languages, undermining religious institutions, rewriting history, destroying cultural heritage, separating children from their communities through state run colonial boarding schools, and replacing distinct identities with loyalty to the Chinese Communist Party”.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

Comments

bottom of page