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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Maharashtra-Andhra play ‘cupid’ to lone tiger

Mumbai: In a warm gesture, the Maharashtra government has ‘in principle’ agreed to translocate two tigresses to the Papikonda National Park (PNP) in Andhra Pradesh, subject to clearance from the National Tiger Conservation Authority (NTCA), official sources said. The PNP is located in the Papi Hills of Eluru and Polavaram districts, and Maharashtra has responded positively to a request from the AP Deputy Chief Minister Pawan Kalyan. On Feb. 19, Kalyan, who holds the Environment & Forests...

Maharashtra-Andhra play ‘cupid’ to lone tiger

Mumbai: In a warm gesture, the Maharashtra government has ‘in principle’ agreed to translocate two tigresses to the Papikonda National Park (PNP) in Andhra Pradesh, subject to clearance from the National Tiger Conservation Authority (NTCA), official sources said. The PNP is located in the Papi Hills of Eluru and Polavaram districts, and Maharashtra has responded positively to a request from the AP Deputy Chief Minister Pawan Kalyan. On Feb. 19, Kalyan, who holds the Environment & Forests departments, had made a formal written request to Maharashtra Chief Minister Devendra Fadnavis, seeking two tigresses from the Tadoba-Andhari Tiger Reserve (TATR) of Chandrapur district. Citing the backgrounder, Kalyan said that on Jan. 20, a dispersing tiger from central India had entered AP state through the eco-sensitive zone of PNP tiger reserve, after traversing through Telangana. ‘Dispersing’ is the natural behaviour of young and independent tigers to leave their birthplace to carve their own territories, find mates and establish a new home. This prevents inbreeding, reduces competition on resources with their parents and enables genetic health of the larger tiger population in the wilds. The migrant tiger traversed over 650-kms through Eluru, East Godavari and Konaseema districts for nearly three weeks mostly through human dominated landscapes, when it was hunting for food also. “Though there were 20-22 instances of livestock depredation, no human injury was reported,” informed Kalyan, adding that the tiger passed through three States. Explaining the purpose for seeking two tigresses, Kalyan contended that it would boost inter-state wildlife conservation and sustainable tiger conservation in the Eastern Ghats landscape. Considering public safety and the NTCA’s Standard Operating Procedures the migrant tiger was tranquilized and safely captured on Feb. 6, 2026 through coordinated efforts of AP Forest Department, veterinarians and wildlife experts, he said. To keep track of his further movements, the tiger was fitted with a Satellite Radio Collar (SRC) and released in the PNP. Thereafter, the AP’s Expert Committee suggested release of two female tigers to facilitate breeding and territorial stability. After examining the issue in detail, Maharashtra’s Chief Wildlife Warden & Principal Chief Conservator of Forests (Wildlife) Marthala Shrinivasa Reddy informed Additional Chief Secretary (Forest), that the proposal may be considered ‘in principle’, subject to formal proposal by AP government to NTCA and approvals from the latter and preparations of a mutually agreed translocation and post-release monitoring. “The translocation of tigers from Maharashtra to another state involves inter-State transfer of Schedule-I wildlife and requires prior approval of NTCA and other competent authorities as prescribed under the Wildlife (Protection) Act, 1972 and relevant guidelines,” Reddy informed. Reddy said that while the male-female ratio in TATR is comparatively low, but the adjoining Chandrapur Forest circle possesses an adequate female tiger population, from where two suitable females could be considered for translocation after all statutory approvals and procedures are completed. After Reddy’s green signal, the state Deputy Secretary (Forests) Niketa Pande wrote to the AP’s Principal Secretary (Environment and Forest) about Maharashtra’s ‘in-principle’ approval, and requested to complete all other formalities at the earliest to provide mates for the solo tiger in PNP.

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.)

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