top of page

By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Trainer plane hard-lands near Baramati

Mumbai: In a shocker, a small trainer aircraft belonging to a private aviation company hard-landed near the Baramati Airfield on Wednesday, sparking fresh concerns over aviation safety in a region that has been witness to several aircraft-related incidents in the past few months. The two-seater, single-engine aircraft belongs to Redbird Flight Training Academy (RFTA) and it crash-landed near the Baramati Airfield this morning around 8.50 am. There are no casualties reported in the incident...

Trainer plane hard-lands near Baramati

Mumbai: In a shocker, a small trainer aircraft belonging to a private aviation company hard-landed near the Baramati Airfield on Wednesday, sparking fresh concerns over aviation safety in a region that has been witness to several aircraft-related incidents in the past few months. The two-seater, single-engine aircraft belongs to Redbird Flight Training Academy (RFTA) and it crash-landed near the Baramati Airfield this morning around 8.50 am. There are no casualties reported in the incident though the Italian-made plane is reported to have suffered minor damage. Confirming the mishap, Pune (Rural) Superintendent of Police Sandeep Singh Gill told mediapersons that the plane crash landed near Gojubavi village, adjacent to the Baramati Airfield. In a terse statement later, the RFTA said: “This is to inform that our aircraft, a Tecnam P2008JC bearing registration VT-RFY, was involved in an incident at Gojubavi in the vicinity of Baramati Airport. As per the preliminary information received, the aircraft was undertaking a solo flight at the time of the occurrence. The cadet pilot is reported to be safe,” it said. When contacted in New Delhi, a senior RFTA official, Dr. Ritu Grover, told The Perfect Voice that they had no further information on the accident including the identity of the trainee pilot. According to initial information, the aircraft developed a technical glitch while cruising at a low altitude while on a routine practice flight, forcing the trainee pilot to attempt an emergency landing but it hard-landed. “During the crash landing, a part of the aircraft grazed an electric light pole before it came down on the ground. Only one trainee pilot was on board the aircraft and fortunately, no serious injuries were reported in the incident,” Gill said. Upon receiving information from the locals, a police team rushed to the accident spot and cordoned off the site. The injured trainee pilot was taken for treatment while local aviation officials launched a probe into the incident. The police said that further details would be released after a technical assessment of the aircraft and ascertaining the causes leading to the disaster. Incidentally, this is believed to be the third mishap involving the Tecnam aircraft including in 2021 and 2023 in different places. The RFTA is one of the two major pilot training institutes operating from the Baramati aviation hub. The region has emerged as a centre for aviation training, with institutes like RFTA and the Carver Aviation conducting regular training sorties from the airfield. Today’s incident brought focus on the safety record of aviation training operations in Baramati, particularly around Gojubavi village, where multiple aircraft mishaps have been reported in recent years. The latest crash comes barely four months after the January 28 Learjet crash near here that had sent shockwaves across the state and national political circles. The mishap had claimed the life of then Maharashtra deputy chief minister and ex-Nationalist Congress Party (NCP) chief Ajit A. Pawar along with four others, making it one of the deadliest aviation incidents in the region in recent memory. Locals recall that similar trainer aircraft disasters involving RRFTA planes had occurred in the vicinity in the past, raising concerns over recurring technical failures and emergency landings dangerously close to populated areas. The aviation authorities are likely to examine whether mechanical failure, pilot error, or operational lapses led to today’s hard-landing at Baramati Airfield. Hazardous Airfield A preliminary probe report by the AAIB into the Learjet 45XR – owned by VSR Ventures Ltd – that crashed on Jan. 28 killing Ajit Pawar and others, had made certain stinging observations on the facilities at Baramati Airfield, managed and maintained by the Maharashtra Airport Development Co. Ltd. Besides the two private aviation training academies, it regularly handles non-scheduled operations, including Chartered/VIP flights. In a shocker, it also stated how the two ATC towers there are manned flying instructors or students, including training flights and VVIP operations.

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